Seagate Technology
Londonderry, County Londonderry
From the videos, music and documents we share with friends and family on social networks, to the servers that form the backbone of enterprise data centers and cloud based computing, to the desktop and notebook computers that fuel our personal productivity, Seagate products help more people store, share, and protect their valuable digital content. With 97% of the world's information being stored on hard drives, the rapid growth of digital data makes Seagate more important every day. As an industry leader, Seagate provides unique career opportunities to be part of today's major technology shifts. We can be found around the globe and at . Seagate's Springtown facility in Derry/Londonderry, Northern Ireland is among the most advanced in the world in the design, development, and volume manufacturing of recording heads. About the role - you will: We are seeking highly motivated Material Scientists / Material Engineers to join our Process Engineering team supporting recording head wafer manufacturing. This is a rare opportunity to work at the forefront of advanced materials, thin film engineering, plasma processing, and nanoscale device fabrication. As a member of our Process Engineering organisation, you will contribute to the development, optimisation, and sustaining of critical wafer processes that enable next generation magnetic recording technologies. We strongly encourage applications from recent PhD graduates, as well as experienced engineers looking to expand their expertise in a fast moving, high technology environment. Key Responsibilities Develop, optimise, and characterise thin film materials and processes used in recording head wafer fabrication (e.g., metals, dielectrics, magnetic alloys, barrier layers). Drive improvements in film structure, composition, stress, uniformity, and functional properties through rigorous experimentation and analysis. Support advanced wafer process modules such as sputter deposition, ALD, PECVD, etch, CMP, annealing, and metrology. Apply scientific principles to diagnose material related defects, yield excursions, and process instabilities. Collaborate with cross functional teams (equipment engineering, integration, metrology, product engineering, R&D) to accelerate process maturity and technology readiness. Implement statistical and data driven methodologies (DoE, SPC, FDC, data modelling) to ensure process robustness and stability. Document and communicate results through technical reports, presentations, and cross site collaboration. About you: Essential Qualifications PhD in a relevant discipline, including but not limited to Materials Science, Materials Engineering, Physics/Chemistry, Nanotechnology, Electrical/Electronic Engineering (materials focused), Mechanical Engineering (with materials specialisation). Equivalent industrial experience in any of the following areas: Thin film deposition (PVD, sputtering, ALD, PECVD, CVD), Surface engineering or plasma processing, Semiconductor or wafer level manufacturing, Magnetic materials or advanced functional materials, Micro/nano fabrication, Physical/chemical characterisation (TEM, SEM, XRD, XPS, AFM, ellipsometry, etc.). Desired Skills & Attributes Strong experimental design and problem solving capabilities. Excellent analytical skills with an ability to interpret complex material/process data. Good understanding of structure-property relationships in thin films. Curiosity, creativity, and a proactive approach to learning. Strong communication and teamwork skills. Ability to work in a dynamic, high volume manufacturing environment. What We Offer Opportunity to work with state of the art wafer manufacturing technology. Close collaboration with world leading engineers and scientists. Mentorship for early career PhD graduates. Clear development pathways into technical leadership. Competitive salary and benefits package. Completed applications should be submitted no later than midnight on Sunday, 15th February 2026. "This role does not meet the criteria set by the Home Office for sponsorship on a Skilled Worker Visa as such sponsorship of this visa cannot be offered." This is a Full Time position working 39 hours per week. Please demonstrate on your Cover Letter or CV how you meet the criteria set out in the job description identified above. Location: Springtown, Northern Ireland Our Springtown site is Derry/Londonderry's largest manufacturer. We are proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and other functions. You can grab breakfast, lunch, dinner and snacks at our subsidised on site café. We also offer on site gym and group exercise classes. Network with colleagues through our Young Professionals Network, Women's Leadership Group, the Carers Café, and other employee driven groups. Benefits include health coverage, flexible working hours, maternity and paternity leave, pension, life assurance, employee stock purchase plan, and a wide range of on site perks. About Us With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever expanding data landscape. We craft precision engineered, cutting edge solutions that help the world store and manage exponential data growth. Seagate is powered by a talented and passionate workforce of 29,000 employees across the globe who embody integrity, innovation, and inclusion. Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (including pregnancy and related medical conditions), gender identity, gender expression, sexual orientation, religion, military and veteran status, or any other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance due to a disability, you may contact us at . All Seagate jobs will remain open for a minimum of seven days. For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.
Jan 14, 2026
Full time
From the videos, music and documents we share with friends and family on social networks, to the servers that form the backbone of enterprise data centers and cloud based computing, to the desktop and notebook computers that fuel our personal productivity, Seagate products help more people store, share, and protect their valuable digital content. With 97% of the world's information being stored on hard drives, the rapid growth of digital data makes Seagate more important every day. As an industry leader, Seagate provides unique career opportunities to be part of today's major technology shifts. We can be found around the globe and at . Seagate's Springtown facility in Derry/Londonderry, Northern Ireland is among the most advanced in the world in the design, development, and volume manufacturing of recording heads. About the role - you will: We are seeking highly motivated Material Scientists / Material Engineers to join our Process Engineering team supporting recording head wafer manufacturing. This is a rare opportunity to work at the forefront of advanced materials, thin film engineering, plasma processing, and nanoscale device fabrication. As a member of our Process Engineering organisation, you will contribute to the development, optimisation, and sustaining of critical wafer processes that enable next generation magnetic recording technologies. We strongly encourage applications from recent PhD graduates, as well as experienced engineers looking to expand their expertise in a fast moving, high technology environment. Key Responsibilities Develop, optimise, and characterise thin film materials and processes used in recording head wafer fabrication (e.g., metals, dielectrics, magnetic alloys, barrier layers). Drive improvements in film structure, composition, stress, uniformity, and functional properties through rigorous experimentation and analysis. Support advanced wafer process modules such as sputter deposition, ALD, PECVD, etch, CMP, annealing, and metrology. Apply scientific principles to diagnose material related defects, yield excursions, and process instabilities. Collaborate with cross functional teams (equipment engineering, integration, metrology, product engineering, R&D) to accelerate process maturity and technology readiness. Implement statistical and data driven methodologies (DoE, SPC, FDC, data modelling) to ensure process robustness and stability. Document and communicate results through technical reports, presentations, and cross site collaboration. About you: Essential Qualifications PhD in a relevant discipline, including but not limited to Materials Science, Materials Engineering, Physics/Chemistry, Nanotechnology, Electrical/Electronic Engineering (materials focused), Mechanical Engineering (with materials specialisation). Equivalent industrial experience in any of the following areas: Thin film deposition (PVD, sputtering, ALD, PECVD, CVD), Surface engineering or plasma processing, Semiconductor or wafer level manufacturing, Magnetic materials or advanced functional materials, Micro/nano fabrication, Physical/chemical characterisation (TEM, SEM, XRD, XPS, AFM, ellipsometry, etc.). Desired Skills & Attributes Strong experimental design and problem solving capabilities. Excellent analytical skills with an ability to interpret complex material/process data. Good understanding of structure-property relationships in thin films. Curiosity, creativity, and a proactive approach to learning. Strong communication and teamwork skills. Ability to work in a dynamic, high volume manufacturing environment. What We Offer Opportunity to work with state of the art wafer manufacturing technology. Close collaboration with world leading engineers and scientists. Mentorship for early career PhD graduates. Clear development pathways into technical leadership. Competitive salary and benefits package. Completed applications should be submitted no later than midnight on Sunday, 15th February 2026. "This role does not meet the criteria set by the Home Office for sponsorship on a Skilled Worker Visa as such sponsorship of this visa cannot be offered." This is a Full Time position working 39 hours per week. Please demonstrate on your Cover Letter or CV how you meet the criteria set out in the job description identified above. Location: Springtown, Northern Ireland Our Springtown site is Derry/Londonderry's largest manufacturer. We are proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and other functions. You can grab breakfast, lunch, dinner and snacks at our subsidised on site café. We also offer on site gym and group exercise classes. Network with colleagues through our Young Professionals Network, Women's Leadership Group, the Carers Café, and other employee driven groups. Benefits include health coverage, flexible working hours, maternity and paternity leave, pension, life assurance, employee stock purchase plan, and a wide range of on site perks. About Us With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever expanding data landscape. We craft precision engineered, cutting edge solutions that help the world store and manage exponential data growth. Seagate is powered by a talented and passionate workforce of 29,000 employees across the globe who embody integrity, innovation, and inclusion. Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (including pregnancy and related medical conditions), gender identity, gender expression, sexual orientation, religion, military and veteran status, or any other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance due to a disability, you may contact us at . All Seagate jobs will remain open for a minimum of seven days. For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.
UK Centre for Ecology and Hydrology
Wallingford, Oxfordshire
Laboratory Manager page is loaded Laboratory Managerlocations: Wallingfordtime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: January 30, 2026 (18 days left to apply)job requisition id: JR1515Salary - £38,939 - £41,321 Fully site based Location: Wallingford. Oxfordshire Closing date: Friday 30th January 2026 We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early.An exciting opportunity has arisen for a Laboratory Manager to join our team at UKCEH. You will be responsible for the management of the laboratory and controlled environment facilities at UKCEH Wallingford, supporting the important environmental science that we carry out. Working closely with the facilities management team and individual laboratory-based researchers, you will be responsible for the efficient running of our laboratory and field facilities. You will also work with our Quality Assurance Manager and Safety, Health and Environment Team to ensure that our facilities run efficiently, safely and to the required quality management standards needed for our researchers.We are looking for a great team worker and communicator with experience of laboratory practice gained in an academic, educational, or industrial research environment. You will have a degree in a science or engineering subject and be familiar with current HS&E legislation as it applies to working in a laboratory or workshop. You will know how to set up and use a range of laboratory equipment and have experience of its application for teaching or research. Your main responsibilities will include: Oversight of laboratory wing operations, maintaining/troubleshooting equipment, and fostering a productive, safe environment for scientists and technicians. As part of this, you will be responsible for arranging maintenance, calibration, and servicing laboratory instruments and required to stay updated on new technologies and environmental initiatives. Support the compliance and delivery of scientific research across UKCEH's Science Areas through effective management of laboratory resources. Build strong working relationships with internal stakeholders to support operational decision-making and to provide advice to lab users and science leadership. Ensure laboratory compliance with internal and external audits and regulatory requirements by maintaining accurate documentation and supporting quality assurance initiatives. Provide and communicate advice to staff for the implementation and adherence to safety, health and environmental policies, procedures, and legislation. Offer solutions and serve as a point of contact for queries to promote a positive safety culture within the science laboratories. Provide laboratory inductions and training to staff, students and visitors to ensure a positive and safe working environment. Conduct audits of UKCEH laboratory activities against policies and management standards, identifying compliance gaps and recommending actions. For the role of Laboratory Manager, we are looking for somebody who: Postgraduate degree or graduate with at least 3 years' equivalent skills and knowledge. Computer literacy and numeracy. Knowledge and experience in a science or engineering subject. Knowledge and experience of general laboratory and/or workshop practice gained either in an academic or an industrial environment. Strong leadership, organizational, and technical skills. Knowledge and experience of implementation of current HS&E legislative requirements as they apply in a laboratory environment. Familiarity with setting up and using a wide range of laboratory and equipment for the purposes of teaching or research. An understanding of current safe systems of work for chemical, biological, and/or radiological safety would also be desirable. Experience/proven abilities relating to the position: Ability to make effective decisions concerning the operation and management of laboratories, workshops, materials, and equipment. Ability to work as part of the broader UKCEH team, liaising effectively with Facilities and engineering staff and supporting science staff and students. High level of safety awareness. Effective communication to deliver instruction and guidance to members of the technical team and to students with varying experience. Effective decision making and conflict resolution skills. Skills: Use of data analysis tools such as MS Excel Specialist knowledge of one or more technical areas of specific interest to the facility, such as, but not limited to, molecular biology, experimental ecology, or environmental chemistry. Ability to plan your own work and make independent decisions. Working at UKCEH is rewarding. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over the course of more than 60 years. As a valued member of our team, you'll get: 27 days annual leave, rising to 29 days after five years, plus 3 days for our Christmas closure 10% employer pension contribution Enhanced maternity and paternity leave (subject to qualifying requirements) 24/7 access to support for physical, mental, social, health, or financial wellbeing, plus trained Welfare Officers Flexible working opportunitiesAnd much more You'll be joining a leading independent, not-for-profit research institute committed to recruiting talented people like you, supporting your career progression, and giving you the environment and resources you need to thrive at UKCEH.Please note: Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process.If we've just described you, we'd love to meet. Apply now with your cover letter.
Jan 13, 2026
Full time
Laboratory Manager page is loaded Laboratory Managerlocations: Wallingfordtime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: January 30, 2026 (18 days left to apply)job requisition id: JR1515Salary - £38,939 - £41,321 Fully site based Location: Wallingford. Oxfordshire Closing date: Friday 30th January 2026 We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early.An exciting opportunity has arisen for a Laboratory Manager to join our team at UKCEH. You will be responsible for the management of the laboratory and controlled environment facilities at UKCEH Wallingford, supporting the important environmental science that we carry out. Working closely with the facilities management team and individual laboratory-based researchers, you will be responsible for the efficient running of our laboratory and field facilities. You will also work with our Quality Assurance Manager and Safety, Health and Environment Team to ensure that our facilities run efficiently, safely and to the required quality management standards needed for our researchers.We are looking for a great team worker and communicator with experience of laboratory practice gained in an academic, educational, or industrial research environment. You will have a degree in a science or engineering subject and be familiar with current HS&E legislation as it applies to working in a laboratory or workshop. You will know how to set up and use a range of laboratory equipment and have experience of its application for teaching or research. Your main responsibilities will include: Oversight of laboratory wing operations, maintaining/troubleshooting equipment, and fostering a productive, safe environment for scientists and technicians. As part of this, you will be responsible for arranging maintenance, calibration, and servicing laboratory instruments and required to stay updated on new technologies and environmental initiatives. Support the compliance and delivery of scientific research across UKCEH's Science Areas through effective management of laboratory resources. Build strong working relationships with internal stakeholders to support operational decision-making and to provide advice to lab users and science leadership. Ensure laboratory compliance with internal and external audits and regulatory requirements by maintaining accurate documentation and supporting quality assurance initiatives. Provide and communicate advice to staff for the implementation and adherence to safety, health and environmental policies, procedures, and legislation. Offer solutions and serve as a point of contact for queries to promote a positive safety culture within the science laboratories. Provide laboratory inductions and training to staff, students and visitors to ensure a positive and safe working environment. Conduct audits of UKCEH laboratory activities against policies and management standards, identifying compliance gaps and recommending actions. For the role of Laboratory Manager, we are looking for somebody who: Postgraduate degree or graduate with at least 3 years' equivalent skills and knowledge. Computer literacy and numeracy. Knowledge and experience in a science or engineering subject. Knowledge and experience of general laboratory and/or workshop practice gained either in an academic or an industrial environment. Strong leadership, organizational, and technical skills. Knowledge and experience of implementation of current HS&E legislative requirements as they apply in a laboratory environment. Familiarity with setting up and using a wide range of laboratory and equipment for the purposes of teaching or research. An understanding of current safe systems of work for chemical, biological, and/or radiological safety would also be desirable. Experience/proven abilities relating to the position: Ability to make effective decisions concerning the operation and management of laboratories, workshops, materials, and equipment. Ability to work as part of the broader UKCEH team, liaising effectively with Facilities and engineering staff and supporting science staff and students. High level of safety awareness. Effective communication to deliver instruction and guidance to members of the technical team and to students with varying experience. Effective decision making and conflict resolution skills. Skills: Use of data analysis tools such as MS Excel Specialist knowledge of one or more technical areas of specific interest to the facility, such as, but not limited to, molecular biology, experimental ecology, or environmental chemistry. Ability to plan your own work and make independent decisions. Working at UKCEH is rewarding. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over the course of more than 60 years. As a valued member of our team, you'll get: 27 days annual leave, rising to 29 days after five years, plus 3 days for our Christmas closure 10% employer pension contribution Enhanced maternity and paternity leave (subject to qualifying requirements) 24/7 access to support for physical, mental, social, health, or financial wellbeing, plus trained Welfare Officers Flexible working opportunitiesAnd much more You'll be joining a leading independent, not-for-profit research institute committed to recruiting talented people like you, supporting your career progression, and giving you the environment and resources you need to thrive at UKCEH.Please note: Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process.If we've just described you, we'd love to meet. Apply now with your cover letter.
HYGIENE TEAM LEADER We are looking for an experienced Hygiene Team Leader for our client based in Llanelli - THIS IS A PERMANENT POSITION WITH AN IMMEDIATE START DATE This is an exciting opportunity for someone who has previous Team Leader experience. Reporting to the FSQ Manager, the Hygiene Team Leader is responsible for ensuring that the department is run in accordance with all Safety and Compliance standard The Team Leader provides effective support in running the Hygiene team in accordance with company standards and procedures regarding Hygiene, Safety, Quality, Quantity and Cost. The role will have responsibility for providing leadership, direction and support to General Operatives within the team. Working closely with the Management Team, the Team Leader will have responsibility for the efficiency and effectiveness of the team as well as the Quality of the teams output. Build positive relationships with colleagues, managers and other departments, utilising these positive relationships to assist delivery of results through your team, and provide support towards the success of other teams. To ensure effective communications with site management and production teams. To carry out a team brief at the start of each shift with all team members, ensuring that KPIs are discussed and issues are resolved. Responsible for department being ready to commence work at the start of the shift and run in accordance with SOP s, including pre-start up checks and reporting any labour issues immediately to the Manager. Plan, organise and manage labour resources to ensure the daily targets are met and there are no breaches to working time regulations. Ensure that team members on the line take their allocated breaks at the appropriate time and return to work promptly and restart the process. Ensure all equipment and working areas are cleaned to company hygiene standards prior to production and housekeeping rules are followed by the team adhering to Clean As You Go at all times. Ensure all processes are adhered to and compliance with Company policies and procedures. Encourage and support new and ongoing continuous improvement initiatives within the site. Ensure that all employees on the line understand their role, responsibilities and the expectations of the management. Work collaboratively with HR to administer counselling, and support the investigation process when required. Support the Recruitment & Selection process for new employees, when required Minimise absenteeism through encouraging a strong team ethos ensuring a high standard of day to day line management. Essential Skills Ability to speak English/Polish or English/Romanian due to the diverse nature of the Company. This role will involve some element of working with chemicals therefore an understanding of basic chemistry and ability to read and understand English is essential. Comfortable working with meat in cold temperatures, as well as ability to undertake occasional heavy lifting. Preferable Skills Background and previous work experience in Industrial Cleaning or Hygiene department would be advantageous.
Jan 13, 2026
Full time
HYGIENE TEAM LEADER We are looking for an experienced Hygiene Team Leader for our client based in Llanelli - THIS IS A PERMANENT POSITION WITH AN IMMEDIATE START DATE This is an exciting opportunity for someone who has previous Team Leader experience. Reporting to the FSQ Manager, the Hygiene Team Leader is responsible for ensuring that the department is run in accordance with all Safety and Compliance standard The Team Leader provides effective support in running the Hygiene team in accordance with company standards and procedures regarding Hygiene, Safety, Quality, Quantity and Cost. The role will have responsibility for providing leadership, direction and support to General Operatives within the team. Working closely with the Management Team, the Team Leader will have responsibility for the efficiency and effectiveness of the team as well as the Quality of the teams output. Build positive relationships with colleagues, managers and other departments, utilising these positive relationships to assist delivery of results through your team, and provide support towards the success of other teams. To ensure effective communications with site management and production teams. To carry out a team brief at the start of each shift with all team members, ensuring that KPIs are discussed and issues are resolved. Responsible for department being ready to commence work at the start of the shift and run in accordance with SOP s, including pre-start up checks and reporting any labour issues immediately to the Manager. Plan, organise and manage labour resources to ensure the daily targets are met and there are no breaches to working time regulations. Ensure that team members on the line take their allocated breaks at the appropriate time and return to work promptly and restart the process. Ensure all equipment and working areas are cleaned to company hygiene standards prior to production and housekeeping rules are followed by the team adhering to Clean As You Go at all times. Ensure all processes are adhered to and compliance with Company policies and procedures. Encourage and support new and ongoing continuous improvement initiatives within the site. Ensure that all employees on the line understand their role, responsibilities and the expectations of the management. Work collaboratively with HR to administer counselling, and support the investigation process when required. Support the Recruitment & Selection process for new employees, when required Minimise absenteeism through encouraging a strong team ethos ensuring a high standard of day to day line management. Essential Skills Ability to speak English/Polish or English/Romanian due to the diverse nature of the Company. This role will involve some element of working with chemicals therefore an understanding of basic chemistry and ability to read and understand English is essential. Comfortable working with meat in cold temperatures, as well as ability to undertake occasional heavy lifting. Preferable Skills Background and previous work experience in Industrial Cleaning or Hygiene department would be advantageous.
A leading research university in the UK seeks a Research Fellow in AI and Computational Chemistry. The candidate will develop AI models to enhance the use of green solvents in chemical manufacturing, collaborating with industrial partners. A PhD in Chemistry is required, alongside strong skills in Python programming and experience in interdisciplinary teams. The role may include hybrid working arrangements and offers generous holiday and personal development opportunities.
Jan 11, 2026
Full time
A leading research university in the UK seeks a Research Fellow in AI and Computational Chemistry. The candidate will develop AI models to enhance the use of green solvents in chemical manufacturing, collaborating with industrial partners. A PhD in Chemistry is required, alongside strong skills in Python programming and experience in interdisciplinary teams. The role may include hybrid working arrangements and offers generous holiday and personal development opportunities.
Research Fellow in AI and Computational Chemistry Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions? Do you want to work in a high interdisciplinary at the heart of one of the UK's leading research-intensive universities? The switch from traditional organic solvents, many of which are hazardous, volatile or non-sustainable, to modern green solvents is one of the key sustainability objectives in High Value Chemical Manufacture. Currently, the use of green solvents is often explored at process development stage, instead of discovery stage, leading to reoptimisation, longer development time, cost, and additional uncertainty. On the other hand, selecting the right solvent early may enhance chemoselectivity, avoid additional reaction steps, and simplify purification of the products. Predicting these changes is an important underpinning capability for wider adaptation of green solvents in manufacturing, and there is an urgent need for ML models which predict reactivity in green solvents based on available data in traditional solvents. In this interdisciplinary project, you will develop solvent-dependent reactivity and reaction selectivity prediction models for green solvents, based on reactivity data curated from the literature and DFT/cheminformatics derived reactivity descriptors. You will also produce a standard set of substrates based on cheminformatics analysis of industrially relevant reactions for reaction scope, and limitations study by the synthetic community. These outputs will have transformative impacts in the chemical manufacture industry, delivering rapid, more sustainable and better quality-controlled processes through shorter development time, and confidence in predicting reaction outcomes in green solvents. The project will be carried out with support from industrial partners working in the field of cheminformatics and AI/Machine learning and end-users in High Value Chemical Manufacturing: Lhasa Ltd., Molecule One, AstraZeneca, CatSci, and Concept Life Science. Working in a collaborative research team based in the Institute of Process Research & Development, you will lead the analysis of curated reaction data and will develop reactivity descriptors based on 2D and 3D structures (generated with high throughput DFT calculations) of organic substrates and reagents. You will develop a set of standard substrates based on analysis of industrial substrates and lead the development of solvent-dependent reactivity prediction models in green solvents. Co-ordinating with collaborators at University of Southampton (data mining and curation) and Imperial College London (experimental data collection and validation) on these tasks; you will manage collaborations with industrial partners during the project and employ High Performance Computing, Python programming, DFT calculations and ML algorithms to deliver the objectives of the project. Holding a PhD in Chemistry (or have submitted your thesis before taking up the role); you will have a strong background in Python programming and computational chemistry coupled with experience in working in an interdisciplinary team with industrial partners. This role will be based on the University campus, with scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements. To explore the post further or for any queries you may have, please contact: Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government's Skilled Worker visa page. 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) - That's 42 days a year! Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available.
Jan 10, 2026
Full time
Research Fellow in AI and Computational Chemistry Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions? Do you want to work in a high interdisciplinary at the heart of one of the UK's leading research-intensive universities? The switch from traditional organic solvents, many of which are hazardous, volatile or non-sustainable, to modern green solvents is one of the key sustainability objectives in High Value Chemical Manufacture. Currently, the use of green solvents is often explored at process development stage, instead of discovery stage, leading to reoptimisation, longer development time, cost, and additional uncertainty. On the other hand, selecting the right solvent early may enhance chemoselectivity, avoid additional reaction steps, and simplify purification of the products. Predicting these changes is an important underpinning capability for wider adaptation of green solvents in manufacturing, and there is an urgent need for ML models which predict reactivity in green solvents based on available data in traditional solvents. In this interdisciplinary project, you will develop solvent-dependent reactivity and reaction selectivity prediction models for green solvents, based on reactivity data curated from the literature and DFT/cheminformatics derived reactivity descriptors. You will also produce a standard set of substrates based on cheminformatics analysis of industrially relevant reactions for reaction scope, and limitations study by the synthetic community. These outputs will have transformative impacts in the chemical manufacture industry, delivering rapid, more sustainable and better quality-controlled processes through shorter development time, and confidence in predicting reaction outcomes in green solvents. The project will be carried out with support from industrial partners working in the field of cheminformatics and AI/Machine learning and end-users in High Value Chemical Manufacturing: Lhasa Ltd., Molecule One, AstraZeneca, CatSci, and Concept Life Science. Working in a collaborative research team based in the Institute of Process Research & Development, you will lead the analysis of curated reaction data and will develop reactivity descriptors based on 2D and 3D structures (generated with high throughput DFT calculations) of organic substrates and reagents. You will develop a set of standard substrates based on analysis of industrial substrates and lead the development of solvent-dependent reactivity prediction models in green solvents. Co-ordinating with collaborators at University of Southampton (data mining and curation) and Imperial College London (experimental data collection and validation) on these tasks; you will manage collaborations with industrial partners during the project and employ High Performance Computing, Python programming, DFT calculations and ML algorithms to deliver the objectives of the project. Holding a PhD in Chemistry (or have submitted your thesis before taking up the role); you will have a strong background in Python programming and computational chemistry coupled with experience in working in an interdisciplinary team with industrial partners. This role will be based on the University campus, with scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements. To explore the post further or for any queries you may have, please contact: Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government's Skilled Worker visa page. 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) - That's 42 days a year! Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available.
Data Engineer / Analytics Engineer (Clean Energy Scale-Up) Location: Hybrid West London (3 days remote) Contract: Permanent, full-time Salary: £35,000 £45,000 dependent on experience Equity: Share options available Holiday: 25 days + birthday off + bank holidays The Opportunity We are working exclusively with a fast-growing clean energy technology company that is redefining how green hydrogen is produced at industrial scale. Backed by significant funding and long-term commercial partnerships, they are now expanding their data capability to support the next phase of laboratory and pilot-plant development. They are seeking a Data Engineer / Analytics Engineer to help build and maintain the core experimental data platform that underpins scientific development, validation, and scale-up activities. This is a hands-on, technically engaging role operating at the intersection of data engineering, analytics, and laboratory experimentation. You will be responsible for transforming raw, real-world experimental and sensor data into structured, trusted datasets used daily by scientists and engineers. This position is ideally suited to someone who enjoys working with messy, real-world data and wants to contribute directly to the commercialisation of next-generation clean energy technology. Key Responsibilities Build and maintain data pipelines for ingesting laboratory and plant data (CSV, Excel, sensor and time-series sources). Work closely with engineering and scientific teams to understand experimental data flows, formats, and validation needs. Clean, transform, and structure datasets for analysis, modelling, and reporting. Support the development of metadata standards to improve experiment traceability and comparability. Contribute to dashboards and analytical views used by R&D teams. Monitor data quality and investigate anomalies or pipeline issues. Improve documentation, data standards, and best practices. Progressively take ownership of operational data workflows under the mentorship of a senior data engineer. About You You will ideally bring: Strong Python skills for data processing and analysis. Solid SQL capability and experience working with structured datasets. Experience or interest in time-series data and sensor-driven environments. A proactive, self-starting mindset with strong problem-solving ability. Comfort working within a fast-moving, technically complex start-up environment. A collaborative approach to working with scientists and engineers. Desirable: Exposure to cloud platforms (GCP or AWS). Familiarity with analytics tools and dashboards. Experience with laboratory, scientific, or industrial datasets. Interest in hydrogen, energy systems, or electrochemistry. Understanding of ETL pipelines and data modelling concepts. Package & Benefits Share options available. Flexible start and finish times. Flexible hybrid and remote working. Support for international remote working. Pension: 3% employee / 5% employer. Team milestone celebrations. Referral bonuses. Strong exposure to a wide range of technologies and accelerated personal development.
Jan 09, 2026
Full time
Data Engineer / Analytics Engineer (Clean Energy Scale-Up) Location: Hybrid West London (3 days remote) Contract: Permanent, full-time Salary: £35,000 £45,000 dependent on experience Equity: Share options available Holiday: 25 days + birthday off + bank holidays The Opportunity We are working exclusively with a fast-growing clean energy technology company that is redefining how green hydrogen is produced at industrial scale. Backed by significant funding and long-term commercial partnerships, they are now expanding their data capability to support the next phase of laboratory and pilot-plant development. They are seeking a Data Engineer / Analytics Engineer to help build and maintain the core experimental data platform that underpins scientific development, validation, and scale-up activities. This is a hands-on, technically engaging role operating at the intersection of data engineering, analytics, and laboratory experimentation. You will be responsible for transforming raw, real-world experimental and sensor data into structured, trusted datasets used daily by scientists and engineers. This position is ideally suited to someone who enjoys working with messy, real-world data and wants to contribute directly to the commercialisation of next-generation clean energy technology. Key Responsibilities Build and maintain data pipelines for ingesting laboratory and plant data (CSV, Excel, sensor and time-series sources). Work closely with engineering and scientific teams to understand experimental data flows, formats, and validation needs. Clean, transform, and structure datasets for analysis, modelling, and reporting. Support the development of metadata standards to improve experiment traceability and comparability. Contribute to dashboards and analytical views used by R&D teams. Monitor data quality and investigate anomalies or pipeline issues. Improve documentation, data standards, and best practices. Progressively take ownership of operational data workflows under the mentorship of a senior data engineer. About You You will ideally bring: Strong Python skills for data processing and analysis. Solid SQL capability and experience working with structured datasets. Experience or interest in time-series data and sensor-driven environments. A proactive, self-starting mindset with strong problem-solving ability. Comfort working within a fast-moving, technically complex start-up environment. A collaborative approach to working with scientists and engineers. Desirable: Exposure to cloud platforms (GCP or AWS). Familiarity with analytics tools and dashboards. Experience with laboratory, scientific, or industrial datasets. Interest in hydrogen, energy systems, or electrochemistry. Understanding of ETL pipelines and data modelling concepts. Package & Benefits Share options available. Flexible start and finish times. Flexible hybrid and remote working. Support for international remote working. Pension: 3% employee / 5% employer. Team milestone celebrations. Referral bonuses. Strong exposure to a wide range of technologies and accelerated personal development.
Chemistry Graduate (Days) 28,000 - 30,000 + Overtime + Training + Progression + Excellent Benefits Package Sandwich, Kent (Commutable from: Margate, Canterbury, Deal, Whistable, Folkstone, Dover, Ashford) Are you a Chemistry graduate, looking for a hands on Site Chemists role, with a highly innovative company who will provide full training and structured progression? On offer is a varied, days based role where you will receive on the job training from industry experts to allow you to progress in to a Senior Site Chemists role. This is an excellent opportunity to join this forward thinking market leader as they continue to expand and develop cutting edge solutions with in a growth industry. This is a varied role where you will be based inside and outside, within an industrial environment. You will be responsible for input control, checking and treating incoming waste with occasional laboratory work. This role would suit a Chemistry Graduate looking for a hands on role with a rapidly expanding business who will provide full training and future career opportunities. The Role: Junior Site Chemist (50% Industrial, 50% Laboratory) Input control, checking & treating incoming waste, process authorisation and lab work. Full on the job training and external courses. The Person: Chemistry graduate (NVQ/ HNC/ HND/ Degree qualified). Looking for a hands on, days based role. Wants training and career development.
Jan 09, 2026
Full time
Chemistry Graduate (Days) 28,000 - 30,000 + Overtime + Training + Progression + Excellent Benefits Package Sandwich, Kent (Commutable from: Margate, Canterbury, Deal, Whistable, Folkstone, Dover, Ashford) Are you a Chemistry graduate, looking for a hands on Site Chemists role, with a highly innovative company who will provide full training and structured progression? On offer is a varied, days based role where you will receive on the job training from industry experts to allow you to progress in to a Senior Site Chemists role. This is an excellent opportunity to join this forward thinking market leader as they continue to expand and develop cutting edge solutions with in a growth industry. This is a varied role where you will be based inside and outside, within an industrial environment. You will be responsible for input control, checking and treating incoming waste with occasional laboratory work. This role would suit a Chemistry Graduate looking for a hands on role with a rapidly expanding business who will provide full training and future career opportunities. The Role: Junior Site Chemist (50% Industrial, 50% Laboratory) Input control, checking & treating incoming waste, process authorisation and lab work. Full on the job training and external courses. The Person: Chemistry graduate (NVQ/ HNC/ HND/ Degree qualified). Looking for a hands on, days based role. Wants training and career development.
Company Information Cambrex is a leading global contract development and manufacturing organization (CDMO) that provides drug substance development and manufacturing across the entire drug lifecycle, as well as comprehensive analytical and IND enabling services. With over 40 years of experience and a team of 2,000 experts servicing global clients from North America and Europe, Cambrex offers a range of specialized drug substance technologies and capabilities, including continuous flow, controlled substances, liquid-phase peptide synthesis, solid-state science, material characterization, and highly potent APIs. Job Overview As a solid form scientist based in Edinburgh, you will, together with our clients across the pharmaceutical industry, participate in the discovery and selection of the most important solid forms of active pharmaceutical ingredients (APIs) to take into the next stage of development. You will work with small and large molecules to identify optimal solid forms to move the API further along the development pipeline. You will form an important part of our technical team and will work at the cutting edge in a fast paced and rewarding environment. You will demonstrate the highest technical standards, while maintaining compliance to quality and safety systems. Responsibilities The main purpose of the Solid Form Scientist is to carry out solid form screening projects to the highest technical standards, on the Active Pharmaceutical Ingredients (APIs) for clients of Cambrex. Also, to facilitate closure of projects with minimal lead time, whilst maintaining compliance to quality and safety systems, so that clients can progress development of their product/API. Qualifications / Skills An enthusiastic team player with excellent communication skills. Ability and willingness to learn new skills and techniques. Application of knowledge to solve complex problems. Demonstrate high levels of motivation and the organisational planning tools to manage workload across multiple projects. Be commercially aware of business development needs. Knowledgeable of the pharmaceutical development continuum of APIs. Knowledge of polymorphism, salt/co crystal screening, and peptide crystallization screening (essential). Ability to discuss complex technical data clearly and succinctly (essential). Ability to work safely in a lab environment, adhering to local SHE policies (essential). Experience of working independently and within a team in an R&D environment, within ISO9001 and/or cGMP quality standards (essential). Education, Experience & Licensing Requirements BSc (Hons), Masters in chemistry, PhD in chemistry, chemical engineering or related discipline (essential). 2+ years industrial experience in a pharmaceutical company / contract research organization. Experience of working with small molecules and/or large molecules (peptide fragments, cyclic and linear peptides) and other complex modalities (essential). Practical experience in a laboratory setting using wet chemistry techniques (essential). Experience/knowledge of solid-state analytical techniques (e.g., XRPD, DSC, TGA/DSC, microscopy, DVS, single crystal X-ray diffraction) and more general spectroscopic (e.g., NMR, FT IR, Raman) (essential). Experience using automated screening platforms (desirable). Experience in working independently and within a team in an R&D environment. Experience with working safely in a lab environment and adhering to local SHE policies. Able to participate in client meetings and discuss technical data clearly and succinctly. Success Factors Possess excellent oral and written communication skills. Be well organised and able to manage high workloads. Able to meet deadlines and plan one's own work effectively. Possess excellent problem solving skills. Be commercially aware of business development needs. Knowledgeable of the pharmaceutical development continuum of APIs. Cambrex Edinburgh is unable to offer visa sponsorship for this job role, applicants must be able to provide proof of their right to work in the UK. Cambrex is an Equal Opportunity / Aff eative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Jan 08, 2026
Full time
Company Information Cambrex is a leading global contract development and manufacturing organization (CDMO) that provides drug substance development and manufacturing across the entire drug lifecycle, as well as comprehensive analytical and IND enabling services. With over 40 years of experience and a team of 2,000 experts servicing global clients from North America and Europe, Cambrex offers a range of specialized drug substance technologies and capabilities, including continuous flow, controlled substances, liquid-phase peptide synthesis, solid-state science, material characterization, and highly potent APIs. Job Overview As a solid form scientist based in Edinburgh, you will, together with our clients across the pharmaceutical industry, participate in the discovery and selection of the most important solid forms of active pharmaceutical ingredients (APIs) to take into the next stage of development. You will work with small and large molecules to identify optimal solid forms to move the API further along the development pipeline. You will form an important part of our technical team and will work at the cutting edge in a fast paced and rewarding environment. You will demonstrate the highest technical standards, while maintaining compliance to quality and safety systems. Responsibilities The main purpose of the Solid Form Scientist is to carry out solid form screening projects to the highest technical standards, on the Active Pharmaceutical Ingredients (APIs) for clients of Cambrex. Also, to facilitate closure of projects with minimal lead time, whilst maintaining compliance to quality and safety systems, so that clients can progress development of their product/API. Qualifications / Skills An enthusiastic team player with excellent communication skills. Ability and willingness to learn new skills and techniques. Application of knowledge to solve complex problems. Demonstrate high levels of motivation and the organisational planning tools to manage workload across multiple projects. Be commercially aware of business development needs. Knowledgeable of the pharmaceutical development continuum of APIs. Knowledge of polymorphism, salt/co crystal screening, and peptide crystallization screening (essential). Ability to discuss complex technical data clearly and succinctly (essential). Ability to work safely in a lab environment, adhering to local SHE policies (essential). Experience of working independently and within a team in an R&D environment, within ISO9001 and/or cGMP quality standards (essential). Education, Experience & Licensing Requirements BSc (Hons), Masters in chemistry, PhD in chemistry, chemical engineering or related discipline (essential). 2+ years industrial experience in a pharmaceutical company / contract research organization. Experience of working with small molecules and/or large molecules (peptide fragments, cyclic and linear peptides) and other complex modalities (essential). Practical experience in a laboratory setting using wet chemistry techniques (essential). Experience/knowledge of solid-state analytical techniques (e.g., XRPD, DSC, TGA/DSC, microscopy, DVS, single crystal X-ray diffraction) and more general spectroscopic (e.g., NMR, FT IR, Raman) (essential). Experience using automated screening platforms (desirable). Experience in working independently and within a team in an R&D environment. Experience with working safely in a lab environment and adhering to local SHE policies. Able to participate in client meetings and discuss technical data clearly and succinctly. Success Factors Possess excellent oral and written communication skills. Be well organised and able to manage high workloads. Able to meet deadlines and plan one's own work effectively. Possess excellent problem solving skills. Be commercially aware of business development needs. Knowledgeable of the pharmaceutical development continuum of APIs. Cambrex Edinburgh is unable to offer visa sponsorship for this job role, applicants must be able to provide proof of their right to work in the UK. Cambrex is an Equal Opportunity / Aff eative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Job title: Development Chemist Location: Royston World-changing careers, enabled by Johnson Matthey. With more than 200 years history, join us and help to accelerate the transition to net-zero! As the Development chemist, you'll contribute to JM's mission as a world leader in sustainable technology, transforming energy and reducing carbon emissions for a cleaner, brighter future. The role: As a Development Chemist you will help drive our goals by: Working as part of a cross functional team including, Commercial, Supply Chain, Scientists, Operators, Quality, NPI, delivering products linked to business strategy and roadmaps Provide support to production groups as necessary to troubleshoot issues and to aid in meeting production/customer commitments Focus on continuous improvement, such as process optimisation to improve yields, efficiencies and process safety Innovative thinking to develop new products for key strategic markets to support JMs growth and competitiveness Carry out laboratory experiments and collect/analyse data to understand reaction chemistry and optimize critical reaction parameters Participate in driving projects through the NPI process to ensure robust scale-up and internal governance is adhered to Update procedures for existing processes and write procedures for new processes. Key skills that will help you succeed in this role: BSc in Chemical Engineering, Chemistry or similar required Experience in a chemical industrial environment required Precious metal industry experience highly preferred Must be able to understand basic chemistry principles Must be proficient in Microsoft Office Must have good communication skills, including written, verbal and the ability to successfully conduct technical presentations Even if you only match some of the skills, we'd love to hear from you to discuss further! What we offer: We make sure salaries are fair, competitive and aligned to individual roles, experience and responsibilities. We are also supportive of hybrid and flexible working and where applicable, offer life, medical and other benefits that support our employees' financial and physical wellbeing, such as: Retirement savings Saving accounts Life and disability insurance Commuter allowances and loans Medical plans / health assessments Fitness discounts Ready to make a meaningful impact on your career and the environment? Join us and help shape a sustainable future while advancing your career! At JM, inclusivity is central to our values. We create an environment where everyone can thrive, embracing diverse perspectives to tackle challenges and ensure all colleagues feel valued and connected. For any queries or accessibility requirements, please contact (url removed). We will work with you to make suitable adjustments at any stage of the recruitment process. All conversations are confidential, and your feedback is welcome to help us provide an accessible and positive recruitment experience. Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks, early application is advised. To submit your application, please click the "Apply" button online. All applications are carefully considered and your details will be stored on our secure Application Management System. This is used throughout Johnson Matthey for the selection of suitable candidates for our vacancies as they arise.Johnson Matthey respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice: Johnson Matthey Privacy Notice . By applying for this role and creating an account you are agreeing to the notice. Johnson Matthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.
Jan 08, 2026
Full time
Job title: Development Chemist Location: Royston World-changing careers, enabled by Johnson Matthey. With more than 200 years history, join us and help to accelerate the transition to net-zero! As the Development chemist, you'll contribute to JM's mission as a world leader in sustainable technology, transforming energy and reducing carbon emissions for a cleaner, brighter future. The role: As a Development Chemist you will help drive our goals by: Working as part of a cross functional team including, Commercial, Supply Chain, Scientists, Operators, Quality, NPI, delivering products linked to business strategy and roadmaps Provide support to production groups as necessary to troubleshoot issues and to aid in meeting production/customer commitments Focus on continuous improvement, such as process optimisation to improve yields, efficiencies and process safety Innovative thinking to develop new products for key strategic markets to support JMs growth and competitiveness Carry out laboratory experiments and collect/analyse data to understand reaction chemistry and optimize critical reaction parameters Participate in driving projects through the NPI process to ensure robust scale-up and internal governance is adhered to Update procedures for existing processes and write procedures for new processes. Key skills that will help you succeed in this role: BSc in Chemical Engineering, Chemistry or similar required Experience in a chemical industrial environment required Precious metal industry experience highly preferred Must be able to understand basic chemistry principles Must be proficient in Microsoft Office Must have good communication skills, including written, verbal and the ability to successfully conduct technical presentations Even if you only match some of the skills, we'd love to hear from you to discuss further! What we offer: We make sure salaries are fair, competitive and aligned to individual roles, experience and responsibilities. We are also supportive of hybrid and flexible working and where applicable, offer life, medical and other benefits that support our employees' financial and physical wellbeing, such as: Retirement savings Saving accounts Life and disability insurance Commuter allowances and loans Medical plans / health assessments Fitness discounts Ready to make a meaningful impact on your career and the environment? Join us and help shape a sustainable future while advancing your career! At JM, inclusivity is central to our values. We create an environment where everyone can thrive, embracing diverse perspectives to tackle challenges and ensure all colleagues feel valued and connected. For any queries or accessibility requirements, please contact (url removed). We will work with you to make suitable adjustments at any stage of the recruitment process. All conversations are confidential, and your feedback is welcome to help us provide an accessible and positive recruitment experience. Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks, early application is advised. To submit your application, please click the "Apply" button online. All applications are carefully considered and your details will be stored on our secure Application Management System. This is used throughout Johnson Matthey for the selection of suitable candidates for our vacancies as they arise.Johnson Matthey respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice: Johnson Matthey Privacy Notice . By applying for this role and creating an account you are agreeing to the notice. Johnson Matthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.
This part-time Laboratory Manager role (0.2 FTE) is a hands-on position combining technical leadership of the School's Photocatalyst Test Centre with direct responsibility for second-year undergraduate Physical Chemistry teaching laboratories. The postholder will manage customer testing from enquiry to final report, maintain and calibrate advanced analytical equipment (including NOx analysers, GC systems and UV/Vis), train research students and demonstrators, and ensure full compliance with health and safety. The role also carries core teaching support duties, including updating laboratory manuals, timetabling support, marking, and student performance monitoring, making it a hybrid technical, research-facing and teaching-critical appointment. About the person: We are seeking an experienced physical chemist with a PhD and a strong track record in managing teaching and research laboratories, particularly in photocatalysis. The successful candidate must: Have a PhD (or equivalent) in Physical Chemistry Have demonstrable experience in testing photocatalytic products, using the appropriate photocatalyst ISOs, for VOC and NOx destruction and water disinfection and preparing and testing photocatalyst indicator inks. The ideal candidate will be highly organised, confident working with both academic and industrial customers, and capable of managing accounts and delivering high-quality outputs to deadlines. Strong communication skills, a commitment to student support and training, and the ability to work independently while integrating effectively within a technical and academic team are essential.
Jan 08, 2026
Full time
This part-time Laboratory Manager role (0.2 FTE) is a hands-on position combining technical leadership of the School's Photocatalyst Test Centre with direct responsibility for second-year undergraduate Physical Chemistry teaching laboratories. The postholder will manage customer testing from enquiry to final report, maintain and calibrate advanced analytical equipment (including NOx analysers, GC systems and UV/Vis), train research students and demonstrators, and ensure full compliance with health and safety. The role also carries core teaching support duties, including updating laboratory manuals, timetabling support, marking, and student performance monitoring, making it a hybrid technical, research-facing and teaching-critical appointment. About the person: We are seeking an experienced physical chemist with a PhD and a strong track record in managing teaching and research laboratories, particularly in photocatalysis. The successful candidate must: Have a PhD (or equivalent) in Physical Chemistry Have demonstrable experience in testing photocatalytic products, using the appropriate photocatalyst ISOs, for VOC and NOx destruction and water disinfection and preparing and testing photocatalyst indicator inks. The ideal candidate will be highly organised, confident working with both academic and industrial customers, and capable of managing accounts and delivering high-quality outputs to deadlines. Strong communication skills, a commitment to student support and training, and the ability to work independently while integrating effectively within a technical and academic team are essential.
Ultra Electronics Group
Cheltenham, Gloucestershire
# We are Ultra Precision Control Systems Ultra PCS is a leading developer of mission and safety critical equipment in the defence and aerospace industry. Our team of experts are at the heart of our success, which is why we are dedicated to fostering a safe working environment and a positive culture where every staff member feels valued and respected.We solve our customers' problems, providing engineering solutions to safety and mission critical challenges in the air and on the ground. Our solutions can be found in the latest military aircraft and vehicles, in civil aircraft, and in unmanned vehicles.We help to ensure our customers get to where they need to be safely, achieve their objectives and keep on going back.# Flexible Working Wherever possible, we will consider a variety of working options to suit your lifestyle, whether that be hybrid home/office working, flexible working and part or full time employment. It's the 'innovating' and 'empowering' values that we ASPIRE to be. We welcome the challenge to work in new ways and have trust in you when getting the job done because we recognise, our business is our people.# Job DescriptionEngineering Industrial Placement The Ultra Engineering function manages a portfolio of specialist capabilities, generating highly differentiated solutions and products by applying electronic, mechanical, and software technologies in demanding and critical environments to meet customer needs. Engineering Industrial Placement (Up to 12-month Placement) Overview The companies Engineering function manages a portfolio of specialist capabilities, generating highly differentiated solutions and products by applying electronic, mechanical, systems and software technologies in demanding and critical environments to meet customer needs.You will join a growing team in our modern Cheltenham or Cambridge offices supported by a team of highly qualified and experienced engineers from all disciplines.Our Manufacturing Engineering and Design Teams work on the development of new products and services in Stores Ejection, Data Processing and Safety Critical Systems for Aerospace and Defence customers around the world. Our products and services rely upon talented engineers to deliver multi-functional solutions to some of our customer's hardest problems.Our industrial placement opportunity is structured to build your practical knowledge as well as giving you exposure to the wider business complementing your academic studies. Job Description Summary As an Engineering Industrial Placement, you will gain some real hands-on experience within Manufacturing Engineering as a great way to introduce you to the broad breadth of product we produce. You will gain an understanding of the steps needed from design, manufacture, assembly, and shipping to the end customer. You will be introduced to some Engineering design problem solving and design activities using CAD or other software tools as appropriate. Depending upon your discipline preference you will be exposed to manufacturing process, engineering design, engineering processes, product testing and inspection. How Long is the Industrial Placement Our industrial placement can be up to 1-year during which time you will undertake short placements around the business, predominantly focused on engineering but also giving exposure to wider functions such as project management, operations, and supply chain.An industrial placement candidate will have good A-level grades, comparable to that expected for entry into university or college; subject grades in Mathematics and Physics (or equivalent), and maybe further Mathematics. In addition, other subjects may be Chemistry, Computer Science, Design Technology, Environmental Science, Psychology and Statistics.We are looking for someone who is excited about engineering, wants to find solutions to difficult problems and is open to being challenged. Above all, you need to be able to integrate into a team working towards the common goal.In your application we are looking for you to provide a personal statement that demonstrates your enthusiasm for Engineering, strong engagement and an understanding of what studying this subject during your placement could involve.A good personal statement will use a scientific writing style and demonstrate logical and analytical thinking, related to Engineering. They will reflect on relevant personal experiences and research beyond the school curriculum, examples could include additional personal study in and experience of engineering relevant work experience, and volunteering. What you can expect from us. Challenging interesting work and a competitive salary Clear guidance and constructive feedback Enhance employability by providing practical skills, and team working Development of Technical, Commercial Awareness and Interpersonal skills Real-world experience, and a competitive edge for securing a graduate job# Nationality Requirements Candidates must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria.# Diverse & Inclusive Employer Ultra PCS is an equal opportunities employer that values diversity, inclusion, equity and equality. Underpinned by our values, behaviours, and policies, we want you to feel empowered to be your best and authentic self.We promote a workplace that welcomes people from all backgrounds and cultures; believing that this will increase our diversity of thinking, and ultimately ensure we continue delivering on our commitments to our customers.We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status and welcome applications from all candidates.
Jan 08, 2026
Full time
# We are Ultra Precision Control Systems Ultra PCS is a leading developer of mission and safety critical equipment in the defence and aerospace industry. Our team of experts are at the heart of our success, which is why we are dedicated to fostering a safe working environment and a positive culture where every staff member feels valued and respected.We solve our customers' problems, providing engineering solutions to safety and mission critical challenges in the air and on the ground. Our solutions can be found in the latest military aircraft and vehicles, in civil aircraft, and in unmanned vehicles.We help to ensure our customers get to where they need to be safely, achieve their objectives and keep on going back.# Flexible Working Wherever possible, we will consider a variety of working options to suit your lifestyle, whether that be hybrid home/office working, flexible working and part or full time employment. It's the 'innovating' and 'empowering' values that we ASPIRE to be. We welcome the challenge to work in new ways and have trust in you when getting the job done because we recognise, our business is our people.# Job DescriptionEngineering Industrial Placement The Ultra Engineering function manages a portfolio of specialist capabilities, generating highly differentiated solutions and products by applying electronic, mechanical, and software technologies in demanding and critical environments to meet customer needs. Engineering Industrial Placement (Up to 12-month Placement) Overview The companies Engineering function manages a portfolio of specialist capabilities, generating highly differentiated solutions and products by applying electronic, mechanical, systems and software technologies in demanding and critical environments to meet customer needs.You will join a growing team in our modern Cheltenham or Cambridge offices supported by a team of highly qualified and experienced engineers from all disciplines.Our Manufacturing Engineering and Design Teams work on the development of new products and services in Stores Ejection, Data Processing and Safety Critical Systems for Aerospace and Defence customers around the world. Our products and services rely upon talented engineers to deliver multi-functional solutions to some of our customer's hardest problems.Our industrial placement opportunity is structured to build your practical knowledge as well as giving you exposure to the wider business complementing your academic studies. Job Description Summary As an Engineering Industrial Placement, you will gain some real hands-on experience within Manufacturing Engineering as a great way to introduce you to the broad breadth of product we produce. You will gain an understanding of the steps needed from design, manufacture, assembly, and shipping to the end customer. You will be introduced to some Engineering design problem solving and design activities using CAD or other software tools as appropriate. Depending upon your discipline preference you will be exposed to manufacturing process, engineering design, engineering processes, product testing and inspection. How Long is the Industrial Placement Our industrial placement can be up to 1-year during which time you will undertake short placements around the business, predominantly focused on engineering but also giving exposure to wider functions such as project management, operations, and supply chain.An industrial placement candidate will have good A-level grades, comparable to that expected for entry into university or college; subject grades in Mathematics and Physics (or equivalent), and maybe further Mathematics. In addition, other subjects may be Chemistry, Computer Science, Design Technology, Environmental Science, Psychology and Statistics.We are looking for someone who is excited about engineering, wants to find solutions to difficult problems and is open to being challenged. Above all, you need to be able to integrate into a team working towards the common goal.In your application we are looking for you to provide a personal statement that demonstrates your enthusiasm for Engineering, strong engagement and an understanding of what studying this subject during your placement could involve.A good personal statement will use a scientific writing style and demonstrate logical and analytical thinking, related to Engineering. They will reflect on relevant personal experiences and research beyond the school curriculum, examples could include additional personal study in and experience of engineering relevant work experience, and volunteering. What you can expect from us. Challenging interesting work and a competitive salary Clear guidance and constructive feedback Enhance employability by providing practical skills, and team working Development of Technical, Commercial Awareness and Interpersonal skills Real-world experience, and a competitive edge for securing a graduate job# Nationality Requirements Candidates must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria.# Diverse & Inclusive Employer Ultra PCS is an equal opportunities employer that values diversity, inclusion, equity and equality. Underpinned by our values, behaviours, and policies, we want you to feel empowered to be your best and authentic self.We promote a workplace that welcomes people from all backgrounds and cultures; believing that this will increase our diversity of thinking, and ultimately ensure we continue delivering on our commitments to our customers.We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status and welcome applications from all candidates.
Senior Research Scientist - Driving Innovation in Sustainable Materials Location: Bristol Salary: 45,000- 55,000 (DOE) Contract: Full-Time Why This Role? Imagine being at the forefront of a technology that could transform how industries recycle advanced materials. This is your chance to join a pioneering cleantech organisation developing breakthrough chemical recycling solutions that make sustainability a reality. You'll have autonomy, influence, and the opportunity to shape the future of circular innovation. What You'll Do Lead cutting-edge research projects that push the boundaries of chemical recycling. Design and deliver experiments that turn ideas into tangible results. Drive technical strategy and mentor a talented research team. Play a key role in capturing and protecting intellectual property. See your work make a real-world impact across aerospace, automotive, defence, and renewable energy sectors. What's In It For You? Work on technology that's redefining sustainability in high-value industries. Be part of a collaborative, forward-thinking team where your ideas matter. Enjoy a dynamic environment with opportunities for growth and leadership. Competitive salary and the chance to make a genuine difference to the planet. What We're Looking For PhD in Chemistry or related field, plus 3+ years of industrial R&D experience. Expertise in experimental design, data analysis, and chemical innovation. Hands-on experience with advanced analytical techniques. Strong leadership skills and a passion for sustainability. Desirable Extras Knowledge of composite materials and life cycle assessment. Experience with IP generation and AGILE methodologies. If you're ready to take ownership of groundbreaking research and help shape a cleaner, smarter future, we'd love to hear from you.
Jan 02, 2026
Full time
Senior Research Scientist - Driving Innovation in Sustainable Materials Location: Bristol Salary: 45,000- 55,000 (DOE) Contract: Full-Time Why This Role? Imagine being at the forefront of a technology that could transform how industries recycle advanced materials. This is your chance to join a pioneering cleantech organisation developing breakthrough chemical recycling solutions that make sustainability a reality. You'll have autonomy, influence, and the opportunity to shape the future of circular innovation. What You'll Do Lead cutting-edge research projects that push the boundaries of chemical recycling. Design and deliver experiments that turn ideas into tangible results. Drive technical strategy and mentor a talented research team. Play a key role in capturing and protecting intellectual property. See your work make a real-world impact across aerospace, automotive, defence, and renewable energy sectors. What's In It For You? Work on technology that's redefining sustainability in high-value industries. Be part of a collaborative, forward-thinking team where your ideas matter. Enjoy a dynamic environment with opportunities for growth and leadership. Competitive salary and the chance to make a genuine difference to the planet. What We're Looking For PhD in Chemistry or related field, plus 3+ years of industrial R&D experience. Expertise in experimental design, data analysis, and chemical innovation. Hands-on experience with advanced analytical techniques. Strong leadership skills and a passion for sustainability. Desirable Extras Knowledge of composite materials and life cycle assessment. Experience with IP generation and AGILE methodologies. If you're ready to take ownership of groundbreaking research and help shape a cleaner, smarter future, we'd love to hear from you.
GT, a leading multi-physics CAE simulation software provider, develops a suite of integrated solutions that guides and accelerates the engineering transformation of today's products in the transportation, power generation, and industrial equipment industries. At Gamma Technologies, our people are the driving force behind our success. We are looking for Solutions Consultants who share our passion for differentiating technology, authentic innovation, trusted partnerships, bold decisions and who have a relentless focus on customer success. What You Will Do As Simulation Solutions Consultant you will be supporting our customers growth initiatives with a focus on GT technical capabilities. You will be participating in growth opportunities requiring technical advice and act as the main technical interface between the client and GT throughout the sales process. Your analysis of customer technical requirements and the development of suitable solutions will ensure a successful proof of value for the prospect and help with driving customer engagement and business growth for Gamma Technologies.In addition, you will also be responsible for generating and publishing technical content, that can be usedto market and prove GT's value for the system simulation community through various channels. The role includes the following tasks: Act as the main point of contact for GT's software solution throughout the entire sales cycle. Oversee and help drive opportunities at all stages that require technical/software solutions support. Support applications engineering and product development based on customer feedback and opportunities experience. Support marketing, branding, and customer engagement activities. Act as technical account responsible for selected named accounts. Documentation and Management of solution consulting activities. What You Will Bring A Master's Degree in Engineering is required. Minimum 4 years of experience in a CAE environment. Minimum 2 years of experience with GT-SUITE or comparable software solution. Proficient in multiple domains, incl. Flow, Thermal, Electric, Mechanics, Chemistry. Knowledge of programming (Matlab, Python,.) is a plus. Knowledge & experience with software consulting and/or support. Excellent English language skills are required, both spoken and written. Strong communication & presentation skills in an international working. Analytical thinking and interest in liaison between engineering and business value. Independent, reliable team player. Flexibility to work on multiple tasks with different stakeholders in parallel. Strong work ethic, with a clear problem-solving mindset. Interest in frequent travel activities. What we Can Offer You Dynamic and highly talented team of experts. The opportunity to bring in your own ideas, implement them and make them accessible to a large customer base. The opportunity to build a professional network in various branches of industry. This is a remote position, based in United Kingdom. An attractive salary and additional company benefits. We're an Equal Opportunity Employer, dedicated to creating an inclusive workplace for all. Applicants for this position must be currently authorized to work in United Kingdom on a full-time basis.
Jan 01, 2026
Full time
GT, a leading multi-physics CAE simulation software provider, develops a suite of integrated solutions that guides and accelerates the engineering transformation of today's products in the transportation, power generation, and industrial equipment industries. At Gamma Technologies, our people are the driving force behind our success. We are looking for Solutions Consultants who share our passion for differentiating technology, authentic innovation, trusted partnerships, bold decisions and who have a relentless focus on customer success. What You Will Do As Simulation Solutions Consultant you will be supporting our customers growth initiatives with a focus on GT technical capabilities. You will be participating in growth opportunities requiring technical advice and act as the main technical interface between the client and GT throughout the sales process. Your analysis of customer technical requirements and the development of suitable solutions will ensure a successful proof of value for the prospect and help with driving customer engagement and business growth for Gamma Technologies.In addition, you will also be responsible for generating and publishing technical content, that can be usedto market and prove GT's value for the system simulation community through various channels. The role includes the following tasks: Act as the main point of contact for GT's software solution throughout the entire sales cycle. Oversee and help drive opportunities at all stages that require technical/software solutions support. Support applications engineering and product development based on customer feedback and opportunities experience. Support marketing, branding, and customer engagement activities. Act as technical account responsible for selected named accounts. Documentation and Management of solution consulting activities. What You Will Bring A Master's Degree in Engineering is required. Minimum 4 years of experience in a CAE environment. Minimum 2 years of experience with GT-SUITE or comparable software solution. Proficient in multiple domains, incl. Flow, Thermal, Electric, Mechanics, Chemistry. Knowledge of programming (Matlab, Python,.) is a plus. Knowledge & experience with software consulting and/or support. Excellent English language skills are required, both spoken and written. Strong communication & presentation skills in an international working. Analytical thinking and interest in liaison between engineering and business value. Independent, reliable team player. Flexibility to work on multiple tasks with different stakeholders in parallel. Strong work ethic, with a clear problem-solving mindset. Interest in frequent travel activities. What we Can Offer You Dynamic and highly talented team of experts. The opportunity to bring in your own ideas, implement them and make them accessible to a large customer base. The opportunity to build a professional network in various branches of industry. This is a remote position, based in United Kingdom. An attractive salary and additional company benefits. We're an Equal Opportunity Employer, dedicated to creating an inclusive workplace for all. Applicants for this position must be currently authorized to work in United Kingdom on a full-time basis.
Overview About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Senior ML Software Engineer in the DH Team, you will focus on building and scaling the platform-facing product that manages the full lifecycle of Aqemia's predictive models, our core scientific assets. You'll scale and industrialize ML/deep learning models developed by research scientists, so they can be efficiently served to our Drug Hunter community. You will play a critical role in the development, deployment, and maintenance of single predictors, ensuring they are robust, reproducible, and seamlessly integrated into the platform that drives our drug discovery engine. This role is deeply technical and foundational to our platform's performance, reliability, and scalability. What you'll do Design and implement ML product and infrastructure to support the training, evaluation, deployment, and versioning of predictive models Industrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to integrate diverse predictors (physics-based, AI-based, hybrid) into the platform Ensure reproducibility, traceability, and performance of model pipelines across the full lifecycle Develop APIs and tools that expose predictors as scalable services to other teams Contribute to software engineering best practices across the ML stack (testing, CI/CD, observability) Partner with platform engineers and product stakeholders to ensure technical alignment and delivery What we're looking for 6+ years of experience in software engineering with strong focus on machine learning systems Deep proficiency in Python and ML ecosystem (e.g. PyTorch, scikit-learn, MLFlow) Solid understanding of data and model lifecycle management, versioning, and deployment Experience building ML infrastructure and model-serving pipelines in production environments Familiarity with cloud-based architecture (AWS preferred), containerization (Docker), and orchestration tools Ability to work autonomously and lead initiatives with high technical ownership Strong communication skills and ability to work closely with scientists and engineers alike Preferred mindset You care about building solid foundations for ML at scale You combine scientific curiosity with software engineering rigor You enjoy tackling complexity and finding elegant, maintainable solutions You thrive in a cross-functional, fast-moving environment where models meet production Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs . You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams Prime Locations : Central Paris or London offices, with 2 remote days/week Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Jan 01, 2026
Full time
Overview About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Senior ML Software Engineer in the DH Team, you will focus on building and scaling the platform-facing product that manages the full lifecycle of Aqemia's predictive models, our core scientific assets. You'll scale and industrialize ML/deep learning models developed by research scientists, so they can be efficiently served to our Drug Hunter community. You will play a critical role in the development, deployment, and maintenance of single predictors, ensuring they are robust, reproducible, and seamlessly integrated into the platform that drives our drug discovery engine. This role is deeply technical and foundational to our platform's performance, reliability, and scalability. What you'll do Design and implement ML product and infrastructure to support the training, evaluation, deployment, and versioning of predictive models Industrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to integrate diverse predictors (physics-based, AI-based, hybrid) into the platform Ensure reproducibility, traceability, and performance of model pipelines across the full lifecycle Develop APIs and tools that expose predictors as scalable services to other teams Contribute to software engineering best practices across the ML stack (testing, CI/CD, observability) Partner with platform engineers and product stakeholders to ensure technical alignment and delivery What we're looking for 6+ years of experience in software engineering with strong focus on machine learning systems Deep proficiency in Python and ML ecosystem (e.g. PyTorch, scikit-learn, MLFlow) Solid understanding of data and model lifecycle management, versioning, and deployment Experience building ML infrastructure and model-serving pipelines in production environments Familiarity with cloud-based architecture (AWS preferred), containerization (Docker), and orchestration tools Ability to work autonomously and lead initiatives with high technical ownership Strong communication skills and ability to work closely with scientists and engineers alike Preferred mindset You care about building solid foundations for ML at scale You combine scientific curiosity with software engineering rigor You enjoy tackling complexity and finding elegant, maintainable solutions You thrive in a cross-functional, fast-moving environment where models meet production Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs . You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams Prime Locations : Central Paris or London offices, with 2 remote days/week Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. The Experience You'll Need 5+ years of deep experience in modern, cloud-based data engineering tools to build data platforms that enable the discovery, query, and processing of large datasets. Up to date on industry trends and tools. You understand the tradeoffs between different data platform architectures and technologies like a data lake, a data warehouse and can draw on this knowledge to develop data platforms solutions for Recursion. Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes: Python, dbt, Prefect, BigQuery, Datastream, FiveTran, PostgreSQL, GCS, Kubernetes, CI/CD, Infrastructure as Code. Our cloud services are provided by Google Cloud Platform. Experience working collaboratively on projects with significant ambiguity and technical complexity, ideally spanning multiple systems and involving diverse technologies. A people-first mindset. Despite the deadlines, we always prioritize supporting our coworkers in their growth and experience. A drive to deliver technical solutions that are easily monitored and understood as they run in production and the effects of change can be readily quantified. A drug discovery, biology or chemistry background is not necessary, but intellectual curiosity is a must! Working Location & Compensation: This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Jan 01, 2026
Full time
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. The Experience You'll Need 5+ years of deep experience in modern, cloud-based data engineering tools to build data platforms that enable the discovery, query, and processing of large datasets. Up to date on industry trends and tools. You understand the tradeoffs between different data platform architectures and technologies like a data lake, a data warehouse and can draw on this knowledge to develop data platforms solutions for Recursion. Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes: Python, dbt, Prefect, BigQuery, Datastream, FiveTran, PostgreSQL, GCS, Kubernetes, CI/CD, Infrastructure as Code. Our cloud services are provided by Google Cloud Platform. Experience working collaboratively on projects with significant ambiguity and technical complexity, ideally spanning multiple systems and involving diverse technologies. A people-first mindset. Despite the deadlines, we always prioritize supporting our coworkers in their growth and experience. A drive to deliver technical solutions that are easily monitored and understood as they run in production and the effects of change can be readily quantified. A drug discovery, biology or chemistry background is not necessary, but intellectual curiosity is a must! Working Location & Compensation: This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Scientific Software Engineer in the product team supporting the daily activities of scientists (physics, ML, deep learning) producing predictors and prediction workflows,you'll contribute to scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software engineering, and platform infrastructure, translating scientific needs into robust, scalable tools used daily across Aqemia's pipeline. What you'll do Build, scale, and maintain cheminformatics predictors and workflows that power multi-step prediction pipelines Translate scientific strategies into software components that operate at scale Collaborate with ML engineers and platform teams to integrate chemical logic into orchestrated flows Work with internal chemical libraries, molecular formats, and property calculations Build, scale, and maintain cheminformatics predictors and workflows that power multi-step prediction pipelines Ensure robustness, performance, cost effectiveness, and traceability of cheminformatics tools Stay up to date with advances in cheminformatics and contribute to continuous improvement What we're looking for 2 - 4 years of experience in cheminformatics or computational chemistry, ideally in a drug discovery context Strong Python skills and experience with RDKit or similar libraries Familiarity with compound library design, molecular descriptors, and property prediction Ability to work with data scientists, ML engineers, and software teams Strong sense of code quality, testing, and documentation Good communication skills and collaborative mindset Experience in scaling complex scientific logic and reducing computational workload when industrializing research-grade code Preferred mindset You're excited to bring chemistry into the heart of automated scientific workflows You enjoy transforming abstract scientific logic into robust, maintainable, production-grade software You thrive in interdisciplinary environments You're driven to build tools that make a tangible impact on drug discovery You care about scalability, not just in infrastructure, but also in complexity, efficiency, and scientific throughput Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs.You 'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams Prime Locations : Central Paris or London offices, with 2 remote days/week Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Jan 01, 2026
Full time
About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Scientific Software Engineer in the product team supporting the daily activities of scientists (physics, ML, deep learning) producing predictors and prediction workflows,you'll contribute to scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software engineering, and platform infrastructure, translating scientific needs into robust, scalable tools used daily across Aqemia's pipeline. What you'll do Build, scale, and maintain cheminformatics predictors and workflows that power multi-step prediction pipelines Translate scientific strategies into software components that operate at scale Collaborate with ML engineers and platform teams to integrate chemical logic into orchestrated flows Work with internal chemical libraries, molecular formats, and property calculations Build, scale, and maintain cheminformatics predictors and workflows that power multi-step prediction pipelines Ensure robustness, performance, cost effectiveness, and traceability of cheminformatics tools Stay up to date with advances in cheminformatics and contribute to continuous improvement What we're looking for 2 - 4 years of experience in cheminformatics or computational chemistry, ideally in a drug discovery context Strong Python skills and experience with RDKit or similar libraries Familiarity with compound library design, molecular descriptors, and property prediction Ability to work with data scientists, ML engineers, and software teams Strong sense of code quality, testing, and documentation Good communication skills and collaborative mindset Experience in scaling complex scientific logic and reducing computational workload when industrializing research-grade code Preferred mindset You're excited to bring chemistry into the heart of automated scientific workflows You enjoy transforming abstract scientific logic into robust, maintainable, production-grade software You thrive in interdisciplinary environments You're driven to build tools that make a tangible impact on drug discovery You care about scalability, not just in infrastructure, but also in complexity, efficiency, and scientific throughput Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs.You 'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams Prime Locations : Central Paris or London offices, with 2 remote days/week Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. Our Team Since 2021 our team has been listed every year in the "Top 100 Startups worth watching" in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We're backed by a team of top tier investors including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology. Our team of 100+ is based across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years' experience in developing qubits and quantum computing architectures. Bringing together state of the art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.
Jan 01, 2026
Full time
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. Our Team Since 2021 our team has been listed every year in the "Top 100 Startups worth watching" in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We're backed by a team of top tier investors including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology. Our team of 100+ is based across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years' experience in developing qubits and quantum computing architectures. Bringing together state of the art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.
Senior Scientific Data Engineer, Data Platform London, England; Milton Park, England Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Platform that builds and maintains our Data Lake/house, the scientific data products we own, and the pipelines that feed them. The team you will join is responsible for all our data products that are composed of public and 3rd party data feeds (e.g. ChEMBL, patents, reactions, chemical vendor catalogues), which includes the infrastructure to build them and the expertise in how to use and integrate them with the rest of the company. This team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets, while continuing to add new data sets and data modalities as we grow. This will require collaboration with many different groups in order to share best practices for usage of our data products, and to receive feedback to keep our products fit for purpose. The Experience You'll Need A degree in drug-discovery related science (e.g. Chemistry, Biology) - you will need to make informed choices on the scientific data you work with Excited about the possibilities of biological and chemical data transforming drug discovery, and owning the data products that enable them 5+ years of deep experience in modern, cloud-based data engineering tools to build data platforms that enable the discovery, query, and processing of large datasets. Up to date on industry trends and tools. You understand the tradeoffs between different data platform architectures and technologies like a data lake, a data warehouse and can draw on this knowledge to develop data platforms solutions for Recursion. Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes: Python, dbt, Prefect, BigQuery, Datastream, FiveTran, PostgreSQL, Agentic coding, GCS, Kubernetes, CI/CD, Infrastructure as Code. Our cloud services are provided by Google Cloud Platform. Experience working collaboratively on projects with significant ambiguity and technical complexity, ideally spanning multiple systems and involving diverse technologies. A people-first mindset. Despite the deadlines, we always prioritize supporting our coworkers in their growth and experience. A drive to deliver technical solutions that are easily monitored and understood as they run in production and the effects of change can be readily quantified. Working Location & Compensation: This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect onX (formerly Twitter) andLinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job. Equal Opportunity Employment Information (Recursion) We are committed to a high-performing workplace where everyone feels like they belong and can do the best work of their careers. We reward merit and contribution as we strive for a workplace that reflects the communities in which we operate and the patients we intend to serve. To this end, we invite you to self-identify your race/ethnicity and gender. This information will be kept confidential and will not be used to favor or discriminate against any candidate. It will not be shared with the hiring managers or otherwise considered as part of your application. Submission of this information is voluntary and refusal to provide any
Jan 01, 2026
Full time
Senior Scientific Data Engineer, Data Platform London, England; Milton Park, England Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Platform that builds and maintains our Data Lake/house, the scientific data products we own, and the pipelines that feed them. The team you will join is responsible for all our data products that are composed of public and 3rd party data feeds (e.g. ChEMBL, patents, reactions, chemical vendor catalogues), which includes the infrastructure to build them and the expertise in how to use and integrate them with the rest of the company. This team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets, while continuing to add new data sets and data modalities as we grow. This will require collaboration with many different groups in order to share best practices for usage of our data products, and to receive feedback to keep our products fit for purpose. The Experience You'll Need A degree in drug-discovery related science (e.g. Chemistry, Biology) - you will need to make informed choices on the scientific data you work with Excited about the possibilities of biological and chemical data transforming drug discovery, and owning the data products that enable them 5+ years of deep experience in modern, cloud-based data engineering tools to build data platforms that enable the discovery, query, and processing of large datasets. Up to date on industry trends and tools. You understand the tradeoffs between different data platform architectures and technologies like a data lake, a data warehouse and can draw on this knowledge to develop data platforms solutions for Recursion. Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes: Python, dbt, Prefect, BigQuery, Datastream, FiveTran, PostgreSQL, Agentic coding, GCS, Kubernetes, CI/CD, Infrastructure as Code. Our cloud services are provided by Google Cloud Platform. Experience working collaboratively on projects with significant ambiguity and technical complexity, ideally spanning multiple systems and involving diverse technologies. A people-first mindset. Despite the deadlines, we always prioritize supporting our coworkers in their growth and experience. A drive to deliver technical solutions that are easily monitored and understood as they run in production and the effects of change can be readily quantified. Working Location & Compensation: This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect onX (formerly Twitter) andLinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job. Equal Opportunity Employment Information (Recursion) We are committed to a high-performing workplace where everyone feels like they belong and can do the best work of their careers. We reward merit and contribution as we strive for a workplace that reflects the communities in which we operate and the patients we intend to serve. To this end, we invite you to self-identify your race/ethnicity and gender. This information will be kept confidential and will not be used to favor or discriminate against any candidate. It will not be shared with the hiring managers or otherwise considered as part of your application. Submission of this information is voluntary and refusal to provide any
At Quaker Houghton, we make the essentials of everyday life possible and enable new approaches for a positive future. Quaker Houghton Engineering (QHE) supports our clients in adapting their business to new market needs such as the EV, industry 4.0 and creating a more sustainable production process. Based in every corner of the world, our people are passionate about what we do. Based in Coventry, you will own proposal and estimating activities in line with our global sales strategy, as well as managing all spares business activities. Working closely with the global sales and engineering team, this is a key role to continue to help our customers build a better future, together. What will you do? Management and ownership of primary delivery functions and key processes within Equipment Sales, Spares and Services. Work with the Global QH sales and QHE Engineering teams to produce comprehensive estimates and technical proposal documents in line with customer requirements and applicable regulations for bespoke capital equipment and service sales. As well as support any other business activity as required. As part of the QHE management team, you will also include active input to the overall company strategy, direction and operational goals, in-line with Quaker Houghton's global strategy. Manage the intercompany catalogue and pricing tool. Manage costing records, order entry and sales administration systems, etc. Ensure pricing and contractual terms follow profitability and cash flow goals, liaising with suppliers, sales team or direct customer contact as required. Manage the spares and services team to deliver and efficient aftermarket support operation. As part of the QHE management team, you will also include active input to the overall company strategy, direction and operational goals, in-line with Quaker Houghton's global strategy. Assisting in the development of standardised methods, tools, and documentation manuals, to improve cost estimation and proposal production. What are we looking for? Solid experience in a similar role where leading the proposal and estimation process is key for success. Ideally within the engineering, special purpose machinery or a similar environment. Any chemical process knowledge is a plus. Excellent communication skills to manage internal and external stakeholders within a global and corporate matrix structure. Understanding technical client specifications is a must including being familiar with design software and drawing interpretation. What's in it for you? Competitive pay programs with bonus opportunities. 2 annual days paid volunteering leave to dedicate to the cause of your choice. QH University: Continuous training tools for all seniority levels. Wellbeing, Mental Health, Colleague Resource Groups & other attractive Diversity, Equity and Inclusion programs. Opportunities to see your efforts contribute toward the success of the business. Solving problems and creating value are part of our DNA. Who are we? We are the global leader in industrial process fluids and engineering present in 40+ countries continually improving and innovating so the world's steel, aluminum, automotive, aircraft, machinery and industrial parts manufacturers can stay ahead in a changing world. Throughout our 100+ locations, our chemists, engineers and industry experts partner with our customers to continually improve their operations so they can run even more efficiently, even more effectively, whatever comes next. Our values: Live Safe, Exceed Customer Expectations, Drive Results, Embrace Diversity, Do Great Things Together, Act with integrity. Our core values embody who we are as a company, guide our decisions and inspire us. Our commitment to these values, in words and actions, builds a safer, stronger Quaker Houghton. They are the fundamental beliefs that guide our internal conduct and our relationship with the outside world. Join the team to continue to exceed customer expectations and build a better future, together. Are you a QH colleague? Please contact your TA Partner or HRBP for more information about the role and/or how to apply.
Jan 01, 2026
Full time
At Quaker Houghton, we make the essentials of everyday life possible and enable new approaches for a positive future. Quaker Houghton Engineering (QHE) supports our clients in adapting their business to new market needs such as the EV, industry 4.0 and creating a more sustainable production process. Based in every corner of the world, our people are passionate about what we do. Based in Coventry, you will own proposal and estimating activities in line with our global sales strategy, as well as managing all spares business activities. Working closely with the global sales and engineering team, this is a key role to continue to help our customers build a better future, together. What will you do? Management and ownership of primary delivery functions and key processes within Equipment Sales, Spares and Services. Work with the Global QH sales and QHE Engineering teams to produce comprehensive estimates and technical proposal documents in line with customer requirements and applicable regulations for bespoke capital equipment and service sales. As well as support any other business activity as required. As part of the QHE management team, you will also include active input to the overall company strategy, direction and operational goals, in-line with Quaker Houghton's global strategy. Manage the intercompany catalogue and pricing tool. Manage costing records, order entry and sales administration systems, etc. Ensure pricing and contractual terms follow profitability and cash flow goals, liaising with suppliers, sales team or direct customer contact as required. Manage the spares and services team to deliver and efficient aftermarket support operation. As part of the QHE management team, you will also include active input to the overall company strategy, direction and operational goals, in-line with Quaker Houghton's global strategy. Assisting in the development of standardised methods, tools, and documentation manuals, to improve cost estimation and proposal production. What are we looking for? Solid experience in a similar role where leading the proposal and estimation process is key for success. Ideally within the engineering, special purpose machinery or a similar environment. Any chemical process knowledge is a plus. Excellent communication skills to manage internal and external stakeholders within a global and corporate matrix structure. Understanding technical client specifications is a must including being familiar with design software and drawing interpretation. What's in it for you? Competitive pay programs with bonus opportunities. 2 annual days paid volunteering leave to dedicate to the cause of your choice. QH University: Continuous training tools for all seniority levels. Wellbeing, Mental Health, Colleague Resource Groups & other attractive Diversity, Equity and Inclusion programs. Opportunities to see your efforts contribute toward the success of the business. Solving problems and creating value are part of our DNA. Who are we? We are the global leader in industrial process fluids and engineering present in 40+ countries continually improving and innovating so the world's steel, aluminum, automotive, aircraft, machinery and industrial parts manufacturers can stay ahead in a changing world. Throughout our 100+ locations, our chemists, engineers and industry experts partner with our customers to continually improve their operations so they can run even more efficiently, even more effectively, whatever comes next. Our values: Live Safe, Exceed Customer Expectations, Drive Results, Embrace Diversity, Do Great Things Together, Act with integrity. Our core values embody who we are as a company, guide our decisions and inspire us. Our commitment to these values, in words and actions, builds a safer, stronger Quaker Houghton. They are the fundamental beliefs that guide our internal conduct and our relationship with the outside world. Join the team to continue to exceed customer expectations and build a better future, together. Are you a QH colleague? Please contact your TA Partner or HRBP for more information about the role and/or how to apply.
Our vision is to be widely recognised and acknowledged within the global biopharmaceutical community as an industry-leading discoverer and developer of innovative, first-in-class, drug molecules. By fully utilising the expertise and knowledge of our team to address the significant hurdles inherent in drug discovery, we are driven to make fundamental contributions to the development and advancement of new medicines that address unmet medical needs across a range of therapeutic indications. If you are passionate about science, interested in working in a friendly and stimulating environment, and would welcome the opportunity to bring your best to our company, we are always interested in hearing from you. The Role As a member of the bioinformatics group, the post holder will support all aspects of data science and integration within Almac Discovery. Working across the biology, chemistry, and protein therapeutics teams, the role will involve managing the storage, processing and analysis of data that is produced by the scientific teams. This is an exciting opportunity to play a central role in the further development of Almac Discovery as an innovative and successful biotechnology company. Preference will be given to a motivated individual with a high level of scientific commitment and a strong work ethic, who thrives in a highly collaborative environment. Travel Requirement: As part of this dynamic role, you will be expected to travel across all Almac Discovery locations, including Belfast, Edinburgh, and Manchester. Flexibility and willingness to travel are essential to support the needs of the business. The post holder must be able to undertake travel in line with business requirements. BSc or MSc in Data Science, Bioinformatics or Computer Science. Experience of developing databases and executing SQL queries. Experience of using Linux-based operating systems and command line applications. Experience of creating data visualisations. Ability to develop using one of R or Python. Experience developing software applications. (The following criterion may be applied if a large pool of applicants exists) PhD in Data Science, Bioinformatics or Computer Science. Prior work experience in a relevant industrial, academic or life science setting. Experience using and/or building ELN or LIMS systems. Prior experience in building data analytics software. Experience of writing / developing SOPs.
Jan 01, 2026
Full time
Our vision is to be widely recognised and acknowledged within the global biopharmaceutical community as an industry-leading discoverer and developer of innovative, first-in-class, drug molecules. By fully utilising the expertise and knowledge of our team to address the significant hurdles inherent in drug discovery, we are driven to make fundamental contributions to the development and advancement of new medicines that address unmet medical needs across a range of therapeutic indications. If you are passionate about science, interested in working in a friendly and stimulating environment, and would welcome the opportunity to bring your best to our company, we are always interested in hearing from you. The Role As a member of the bioinformatics group, the post holder will support all aspects of data science and integration within Almac Discovery. Working across the biology, chemistry, and protein therapeutics teams, the role will involve managing the storage, processing and analysis of data that is produced by the scientific teams. This is an exciting opportunity to play a central role in the further development of Almac Discovery as an innovative and successful biotechnology company. Preference will be given to a motivated individual with a high level of scientific commitment and a strong work ethic, who thrives in a highly collaborative environment. Travel Requirement: As part of this dynamic role, you will be expected to travel across all Almac Discovery locations, including Belfast, Edinburgh, and Manchester. Flexibility and willingness to travel are essential to support the needs of the business. The post holder must be able to undertake travel in line with business requirements. BSc or MSc in Data Science, Bioinformatics or Computer Science. Experience of developing databases and executing SQL queries. Experience of using Linux-based operating systems and command line applications. Experience of creating data visualisations. Ability to develop using one of R or Python. Experience developing software applications. (The following criterion may be applied if a large pool of applicants exists) PhD in Data Science, Bioinformatics or Computer Science. Prior work experience in a relevant industrial, academic or life science setting. Experience using and/or building ELN or LIMS systems. Prior experience in building data analytics software. Experience of writing / developing SOPs.
