Lead Data Scientist - eCommerce Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead the design and deployment of advanced machine learning solutions focused
Feb 14, 2026
Full time
Lead Data Scientist - eCommerce Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead the design and deployment of advanced machine learning solutions focused
A biotechnology company in Oxford is seeking a Senior Scientist I for Analytical Development & Validation. The role involves conducting and designing experimental investigations, oversight of assay development, and leading investigational projects. Ideal candidates will have significant experience in chromatographic methods and a background in a biopharmaceutical laboratory. A BSc. or MSc. in a related discipline is essential, with a PhD being desirable.
Feb 14, 2026
Full time
A biotechnology company in Oxford is seeking a Senior Scientist I for Analytical Development & Validation. The role involves conducting and designing experimental investigations, oversight of assay development, and leading investigational projects. Ideal candidates will have significant experience in chromatographic methods and a background in a biopharmaceutical laboratory. A BSc. or MSc. in a related discipline is essential, with a PhD being desirable.
Job Details: Senior Scientist I - Analytical Development & Validation Full details of the job. Vacancy Name Vacancy Name Senior Scientist I - Analytical Development & Validation Vacancy No Vacancy No VN627 Employment Type Employment Type Permanent Location of role Location of role Oxford, UK Department Department CMC Key Responsibilities To conduct and design experimental investigations enabling the advancement of the Company pipeline, process, or technology capabilities, proposing improvements for consideration by colleagues and managers. To perform assay development and qualification for ImmTAX and other TCR based molecules and oversee method transfers to CDMOs. Designing and conducting chromatographic, electrophoretic and immunoassay development studies to support stability and release of ImmTAC and other TCR based molecules. Supporting qualification of chromatographic, electrophoretic and immunoassay methods (according to ICH guidelines) to allow release testing of the company drug molecules. Contributing to method transfers to contract development and manufacturing organisations (CDMO). Leading investigational, CMC supportive packages and comparability studies of biologics/drug products. Writing study protocols and reports. Independently testing and, increasingly, leading lines of investigation. Proposing new experiments based on emerging data and other related information. Providing support on technical aspects to others. Priorities: establishing priorities for own work and team-based projects; making decisions on prioritisation based on the overall goals of the team, department and project, using direct evidence and personal experience as guidance. Technical Knowledge: sharing knowledge with the wider team and, across departments representing the department both internally and externally. May also act as a mentor or manager to other colleagues, especially new hires, sharing scientific and company knowledge. Increasingly providing analysis of new techniques and theories from outside the Company to advance the way the company works; sharing these with leaders across the Company. Laboratory records: ensuring that all records and information are up to date, on time and recorded to the correct standard. Supporting and encouraging others to achieve this. Laboratory equipment: providing technical guidance to others within the team on how to use equipment most effectively; making recommendations regarding acquisition of new pieces of equipment. Reporting: communicating and presenting research findings at meetings with colleagues, senior management and partners. Adhere to safe working practices in laboratories according to Immunocore EHS policies. Person Specification Experience & knowledge Essential Experience in development of chromatographic and electrophoretic methods used in the analysis of recombinant proteins or antibodies. Worked in a bench-based biopharmaceutical laboratory environment. Established as an expert amongst peers in one or more of the following areas: electrophoretic, chromatographic, immuno-analytical. Experienced in assay qualification/validation and/ or system suitability i.e. robustness analytical limits. Familiar with biopharmaceutical stability study principles and interpretation thereof. Worked and contributed actively in a diverse team environment. Proposed and driven changes in working practices that have improved efficiency, supported teams through adoption and change. Presented detailed scientific findings and papers to internal and external audiences. Mentored and coached less experienced colleagues in scientific practices and theory. Desirable Experience with late stage/commercial biopharmaceutical assay development and characterisation. Familiar with the principles of Good Manufacturing Practise (GMP). Presented papers at external conferences. Participated in external scientific experiments and/or analytical collaborations. Led a small project team, formally or informally, through a change in practice including project management. Understanding of analytical requirements to support materials for use in clinical trials. Education & qualifications Essential: BSc. Or MSc. in biochemistry, biotechnology or related discipline. Desirable: PhD in related discipline. About the Company Immunocore (NASDAQ: IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry's most successful drug developers. We are creating not just an environment where great minds can interact but an innovation powerhouse answering the big questions. Focused on delivering first-in-class biological therapies to patients, we have developed a highly innovative soluble TCR platform. Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases. At Immunocore, we recognize that our employees are our greatest asset. We value the unique contributions each person brings to our team. By embracing Science, Trust, Respect, Integrity, Diversity, and Entrepreneurship (STRIDE), we create an environment where collaboration thrives, ideas flourish, and transformative changes happen. STRIDE represents more than just letters; it embodies our shared identity and drives our mission. We are dedicated to developing breakthrough therapies that transform patients' lives, advancing medicine, and supporting one another in these pursuits. Immunocore is proud to be an equal opportunity employer. As such, we are committed to fostering an inclusive workplace where everyone feels valued, respected, and empowered. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, or any other characteristic protected by law.
Feb 14, 2026
Full time
Job Details: Senior Scientist I - Analytical Development & Validation Full details of the job. Vacancy Name Vacancy Name Senior Scientist I - Analytical Development & Validation Vacancy No Vacancy No VN627 Employment Type Employment Type Permanent Location of role Location of role Oxford, UK Department Department CMC Key Responsibilities To conduct and design experimental investigations enabling the advancement of the Company pipeline, process, or technology capabilities, proposing improvements for consideration by colleagues and managers. To perform assay development and qualification for ImmTAX and other TCR based molecules and oversee method transfers to CDMOs. Designing and conducting chromatographic, electrophoretic and immunoassay development studies to support stability and release of ImmTAC and other TCR based molecules. Supporting qualification of chromatographic, electrophoretic and immunoassay methods (according to ICH guidelines) to allow release testing of the company drug molecules. Contributing to method transfers to contract development and manufacturing organisations (CDMO). Leading investigational, CMC supportive packages and comparability studies of biologics/drug products. Writing study protocols and reports. Independently testing and, increasingly, leading lines of investigation. Proposing new experiments based on emerging data and other related information. Providing support on technical aspects to others. Priorities: establishing priorities for own work and team-based projects; making decisions on prioritisation based on the overall goals of the team, department and project, using direct evidence and personal experience as guidance. Technical Knowledge: sharing knowledge with the wider team and, across departments representing the department both internally and externally. May also act as a mentor or manager to other colleagues, especially new hires, sharing scientific and company knowledge. Increasingly providing analysis of new techniques and theories from outside the Company to advance the way the company works; sharing these with leaders across the Company. Laboratory records: ensuring that all records and information are up to date, on time and recorded to the correct standard. Supporting and encouraging others to achieve this. Laboratory equipment: providing technical guidance to others within the team on how to use equipment most effectively; making recommendations regarding acquisition of new pieces of equipment. Reporting: communicating and presenting research findings at meetings with colleagues, senior management and partners. Adhere to safe working practices in laboratories according to Immunocore EHS policies. Person Specification Experience & knowledge Essential Experience in development of chromatographic and electrophoretic methods used in the analysis of recombinant proteins or antibodies. Worked in a bench-based biopharmaceutical laboratory environment. Established as an expert amongst peers in one or more of the following areas: electrophoretic, chromatographic, immuno-analytical. Experienced in assay qualification/validation and/ or system suitability i.e. robustness analytical limits. Familiar with biopharmaceutical stability study principles and interpretation thereof. Worked and contributed actively in a diverse team environment. Proposed and driven changes in working practices that have improved efficiency, supported teams through adoption and change. Presented detailed scientific findings and papers to internal and external audiences. Mentored and coached less experienced colleagues in scientific practices and theory. Desirable Experience with late stage/commercial biopharmaceutical assay development and characterisation. Familiar with the principles of Good Manufacturing Practise (GMP). Presented papers at external conferences. Participated in external scientific experiments and/or analytical collaborations. Led a small project team, formally or informally, through a change in practice including project management. Understanding of analytical requirements to support materials for use in clinical trials. Education & qualifications Essential: BSc. Or MSc. in biochemistry, biotechnology or related discipline. Desirable: PhD in related discipline. About the Company Immunocore (NASDAQ: IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry's most successful drug developers. We are creating not just an environment where great minds can interact but an innovation powerhouse answering the big questions. Focused on delivering first-in-class biological therapies to patients, we have developed a highly innovative soluble TCR platform. Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases. At Immunocore, we recognize that our employees are our greatest asset. We value the unique contributions each person brings to our team. By embracing Science, Trust, Respect, Integrity, Diversity, and Entrepreneurship (STRIDE), we create an environment where collaboration thrives, ideas flourish, and transformative changes happen. STRIDE represents more than just letters; it embodies our shared identity and drives our mission. We are dedicated to developing breakthrough therapies that transform patients' lives, advancing medicine, and supporting one another in these pursuits. Immunocore is proud to be an equal opportunity employer. As such, we are committed to fostering an inclusive workplace where everyone feels valued, respected, and empowered. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, or any other characteristic protected by law.
Science & Technology Facilities Council (STFC)
Didcot, Oxfordshire
Safety, Health and Environment Team Leader Science and Technology Facilities Council Salary: £64,463 UKRI Band F-S2 Closing date: 1st March 2026 Hours: Full-time Contract Type: Open-ended Location: Rutherford Appleton Laboratory (RAL), Didcot, Oxfordshire OX11 0DE Together, our scientists, technologists, engineers and business support team explore the unknown and turn what they find into work that c click apply for full job details
Feb 14, 2026
Full time
Safety, Health and Environment Team Leader Science and Technology Facilities Council Salary: £64,463 UKRI Band F-S2 Closing date: 1st March 2026 Hours: Full-time Contract Type: Open-ended Location: Rutherford Appleton Laboratory (RAL), Didcot, Oxfordshire OX11 0DE Together, our scientists, technologists, engineers and business support team explore the unknown and turn what they find into work that c click apply for full job details
Alexander Edward James Consulting Limited
City, London
Remote based Reporting Line - CTO Direct Reports - None Key Stakeholder Relationships - Product owners, software developers, testers, delivery managers, professional services teams, and technical architects Role Purpose Working as part of an Agile technology team within a fast growing SaaS organisation, the Data Specialist / Data Scientist will be responsible for designing, developing, and deploying da click apply for full job details
Feb 14, 2026
Full time
Remote based Reporting Line - CTO Direct Reports - None Key Stakeholder Relationships - Product owners, software developers, testers, delivery managers, professional services teams, and technical architects Role Purpose Working as part of an Agile technology team within a fast growing SaaS organisation, the Data Specialist / Data Scientist will be responsible for designing, developing, and deploying da click apply for full job details
A global packaging leader is seeking an R&D CORE Material Scientist II to manage R&D projects in advanced materials focusing on innovation and sustainability. Candidates should possess a Master's or PhD in a materials-related discipline and 4-7 years of relevant experience. Strong leadership, communication, and project management skills are essential. The position involves collaboration with multiple sectors to drive transformative solutions that meet customer expectations and regulatory demands.
Feb 14, 2026
Full time
A global packaging leader is seeking an R&D CORE Material Scientist II to manage R&D projects in advanced materials focusing on innovation and sustainability. Candidates should possess a Master's or PhD in a materials-related discipline and 4-7 years of relevant experience. Strong leadership, communication, and project management skills are essential. The position involves collaboration with multiple sectors to drive transformative solutions that meet customer expectations and regulatory demands.
Unfortunately, we are unable to offer visa sponsorship for this role. This is a fulltime, permanent position, working a flexible 37.5 hour week, Monday - Friday. The purpose of this role is to support the development of new product formulations providing support to the automated equipment and analytical equipment. Additionally, the scientist also has the potential to support further automated platforms and health care product development evaluation. Job Responsibilities Organisation, Scheduling and Planning of Routine requests from multiple client facilities to be progressed in the client facility, utilising various automated platforms. Review Design of Experiments and progress automated runs. Support automated formulation platforms with a good level of proficiency. Manage Logistics, COSHH, Safety for routine requests from different client areas ensuring sample integrity, project timelines and demands are met. Run and Report any routine requests on automated equipment (including Statistics). Conduct associated in-line / off-line product quality assessment of Haircare products assessing damage, deposition, sensory and hair array (combing / texture). For hair fibre assessing physical assessments including torsion, tension, bending, swelling and contact angle and for Sub Fibre, assessment utilising DSC, DVS, DMA and TGA as well as analytical support utilising Raman Spectroscopy and SEM. Additional measurement support including preparation and operation of measurement tools. Maintain clear, concise and effective communication with the Key client Contacts and designees throughout the period of service. Ensure all pre-calibration of equipment is conducted. Escalate issues in a timely manner to ensure prompt resolution so as to maintain project schedule adherence. Report and document any issues or non-conformances to the relevant client contact. Assist in the preparation and review and revision of area documentation e.g. SOP's, Reports, Protocols. To ensure that all documentation is carried out on time, is accurate and legible and conforms to the relevant quality standards. Attend regular client/Eurofins team meetings. Deal with customer queries and contact designated personnel, with appropriate support from Group Leader, with any relevant information or issues relating to results or the service in general. To keep the laboratory areas clean and tidy in both 'seen' and 'unseen' areas. To have a clear understanding of the customer relationship and service goals. Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and the environment safer, healthier and more sustainable. From the food you eat to the medicines you rely on, Eurofins works with the biggest companies in
Feb 14, 2026
Full time
Unfortunately, we are unable to offer visa sponsorship for this role. This is a fulltime, permanent position, working a flexible 37.5 hour week, Monday - Friday. The purpose of this role is to support the development of new product formulations providing support to the automated equipment and analytical equipment. Additionally, the scientist also has the potential to support further automated platforms and health care product development evaluation. Job Responsibilities Organisation, Scheduling and Planning of Routine requests from multiple client facilities to be progressed in the client facility, utilising various automated platforms. Review Design of Experiments and progress automated runs. Support automated formulation platforms with a good level of proficiency. Manage Logistics, COSHH, Safety for routine requests from different client areas ensuring sample integrity, project timelines and demands are met. Run and Report any routine requests on automated equipment (including Statistics). Conduct associated in-line / off-line product quality assessment of Haircare products assessing damage, deposition, sensory and hair array (combing / texture). For hair fibre assessing physical assessments including torsion, tension, bending, swelling and contact angle and for Sub Fibre, assessment utilising DSC, DVS, DMA and TGA as well as analytical support utilising Raman Spectroscopy and SEM. Additional measurement support including preparation and operation of measurement tools. Maintain clear, concise and effective communication with the Key client Contacts and designees throughout the period of service. Ensure all pre-calibration of equipment is conducted. Escalate issues in a timely manner to ensure prompt resolution so as to maintain project schedule adherence. Report and document any issues or non-conformances to the relevant client contact. Assist in the preparation and review and revision of area documentation e.g. SOP's, Reports, Protocols. To ensure that all documentation is carried out on time, is accurate and legible and conforms to the relevant quality standards. Attend regular client/Eurofins team meetings. Deal with customer queries and contact designated personnel, with appropriate support from Group Leader, with any relevant information or issues relating to results or the service in general. To keep the laboratory areas clean and tidy in both 'seen' and 'unseen' areas. To have a clear understanding of the customer relationship and service goals. Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and the environment safer, healthier and more sustainable. From the food you eat to the medicines you rely on, Eurofins works with the biggest companies in
Senior Principal Scientist (Project Enablement) under the leadership of Agnes Martin £58,400 - £76,000 plusbenefits (includes up to 12% pension contribution and income protection) Reports to: Associate Director, Mechanistic Pharmacology Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week (4 day week would be considered) Location: Cambridge, Babraham Research Campus (minimum 3 days on site) Closing date: Open until filled. We will be shortlisting on a rolling basis and will close the vacancy once we have received sufficient applications This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. Please let us know if there is anything or as soon as possible.in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact or as soon as possible. Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application. Recruitment process: 1st stage Teams technical and competency based itnerview, 2nd stage in person interview including pre prepared presentation At Cancer Research UK, we exist to beat cancer. We are looking for a passionate and dedicated scientific professional with extensive experience in pre-clinical drug discovery in an industrial setting. As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs 200 staff from both industrial and academic backgrounds What will I be doing? Our strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical candidate. In this role, you will define the vision and strategy for CRH early project enablement, establishing robust processes to select and advance promising targets into the drug discovery portfolio. You will lead and develop a matrixed team, guiding them to deliver clear go/no-go decisions through deep expertise in target feasibility and druggability. You will work closely with the Portfolio Generation team to build a sustainable pipeline, evaluating risks, shaping mitigation strategies, and ensuring projects progress efficiently toward pre-clinical development. In addition, you will provide leadership within the broader CRH TI organisation, shaping strategic direction and driving scientific and technical innovation, including championing new modalities. Key accountabilities include: Provide deep expertise in assessing target feasibility, including, but not limited to, reagent generation, mechanistic characterisation, ligandability, druggability. Work at the intersection between portfolio generation, molecular sciences, chemistry and biosciences to define and prosecute strategies that deliver clear, early go/no-go decisions across a range of challenging target classes. Provide Scientific and Strategic leadership for the assessment of novel targets and mechanisms, to drive innovation and portfolio success. Communicate effectively, to influence multiple stakeholders and collaborate across projects and sites. Promote scientific excellence, through external publication, presentations, and membership of conference committees and Scientific Advisory Boards This role uniquely combines cutting-edge screening expertise with deep mechanistic insight to transform early-stage target prosecution. By leveraging a range of hit identification methods (e.g. DEL, AS-MS) and rigorous mechanistic understanding, it ensures only the most viable targets progress into drug discovery, pursuing a de-risked therapeutic targeting strategy to reduce attrition and accelerate timelines. Beyond shaping the science, the successful candidate will have a real opportunity to influence and improve our ways of working, embedding best practices and innovative approaches across teams. This smarter, risk-aware strategy will ultimately deliver higher-quality medicines faster, improving outcomes and bringing life-changing therapies to patients who need them most. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers. You will form an integral part of the Cancer Research Horizon Drug Discovery team, fostering productive internal collaborations, as well as external academic and industrial partnerships, to progress novel cancer targets towards patient benefit. What are we looking for? In addition to the key strategic leadership elements of this role, the successful candidate will play a pivotal role in training and developing colleagues, including through practical contributions from the bench. You will therefore bring a genuine enthusiasm for working in the lab and guiding those around you. You will also bring: A PhD in Pharmacology, Biochemistry, Chemistry or equivalent experience, with extensive pre-clinical drug discovery experience in industry. Deep intellectual and practical knowledge of methods to assess target feasibility and druggability (eg computational modelling, protein characterisation, assay development, affinity-based methods such as DEL, AS-MS). Proven track record of innovative scientific delivery through driving impactful insight into target characterisation across a range of challenging target classes, through intellectual and laboratory-based contributions Demonstrated scientific and project leadership in highly matrixed environments, with extensive experience inspiring, developing, and guiding a diverse world class team through effective matrix management. Significant experience of establishing and leading external academic and industrial collaborations, and technology change projects, to advance organisational capability Track record of delivering results across a diverse project portfolio by leading driving strategic and scientific initiatives Strong external reputation in drug discovery, evidenced through wide personal network, external presentation and publication in high-impact journals, and influential roles on relevant external committees Strategic, credible, and future thinking leader with strong prioritisation, sound decision making under uncertainty, integrity, openness, and a commitment to EDI. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us at . For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Feb 14, 2026
Full time
Senior Principal Scientist (Project Enablement) under the leadership of Agnes Martin £58,400 - £76,000 plusbenefits (includes up to 12% pension contribution and income protection) Reports to: Associate Director, Mechanistic Pharmacology Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week (4 day week would be considered) Location: Cambridge, Babraham Research Campus (minimum 3 days on site) Closing date: Open until filled. We will be shortlisting on a rolling basis and will close the vacancy once we have received sufficient applications This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. Please let us know if there is anything or as soon as possible.in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact or as soon as possible. Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application. Recruitment process: 1st stage Teams technical and competency based itnerview, 2nd stage in person interview including pre prepared presentation At Cancer Research UK, we exist to beat cancer. We are looking for a passionate and dedicated scientific professional with extensive experience in pre-clinical drug discovery in an industrial setting. As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs 200 staff from both industrial and academic backgrounds What will I be doing? Our strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical candidate. In this role, you will define the vision and strategy for CRH early project enablement, establishing robust processes to select and advance promising targets into the drug discovery portfolio. You will lead and develop a matrixed team, guiding them to deliver clear go/no-go decisions through deep expertise in target feasibility and druggability. You will work closely with the Portfolio Generation team to build a sustainable pipeline, evaluating risks, shaping mitigation strategies, and ensuring projects progress efficiently toward pre-clinical development. In addition, you will provide leadership within the broader CRH TI organisation, shaping strategic direction and driving scientific and technical innovation, including championing new modalities. Key accountabilities include: Provide deep expertise in assessing target feasibility, including, but not limited to, reagent generation, mechanistic characterisation, ligandability, druggability. Work at the intersection between portfolio generation, molecular sciences, chemistry and biosciences to define and prosecute strategies that deliver clear, early go/no-go decisions across a range of challenging target classes. Provide Scientific and Strategic leadership for the assessment of novel targets and mechanisms, to drive innovation and portfolio success. Communicate effectively, to influence multiple stakeholders and collaborate across projects and sites. Promote scientific excellence, through external publication, presentations, and membership of conference committees and Scientific Advisory Boards This role uniquely combines cutting-edge screening expertise with deep mechanistic insight to transform early-stage target prosecution. By leveraging a range of hit identification methods (e.g. DEL, AS-MS) and rigorous mechanistic understanding, it ensures only the most viable targets progress into drug discovery, pursuing a de-risked therapeutic targeting strategy to reduce attrition and accelerate timelines. Beyond shaping the science, the successful candidate will have a real opportunity to influence and improve our ways of working, embedding best practices and innovative approaches across teams. This smarter, risk-aware strategy will ultimately deliver higher-quality medicines faster, improving outcomes and bringing life-changing therapies to patients who need them most. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers. You will form an integral part of the Cancer Research Horizon Drug Discovery team, fostering productive internal collaborations, as well as external academic and industrial partnerships, to progress novel cancer targets towards patient benefit. What are we looking for? In addition to the key strategic leadership elements of this role, the successful candidate will play a pivotal role in training and developing colleagues, including through practical contributions from the bench. You will therefore bring a genuine enthusiasm for working in the lab and guiding those around you. You will also bring: A PhD in Pharmacology, Biochemistry, Chemistry or equivalent experience, with extensive pre-clinical drug discovery experience in industry. Deep intellectual and practical knowledge of methods to assess target feasibility and druggability (eg computational modelling, protein characterisation, assay development, affinity-based methods such as DEL, AS-MS). Proven track record of innovative scientific delivery through driving impactful insight into target characterisation across a range of challenging target classes, through intellectual and laboratory-based contributions Demonstrated scientific and project leadership in highly matrixed environments, with extensive experience inspiring, developing, and guiding a diverse world class team through effective matrix management. Significant experience of establishing and leading external academic and industrial collaborations, and technology change projects, to advance organisational capability Track record of delivering results across a diverse project portfolio by leading driving strategic and scientific initiatives Strong external reputation in drug discovery, evidenced through wide personal network, external presentation and publication in high-impact journals, and influential roles on relevant external committees Strategic, credible, and future thinking leader with strong prioritisation, sound decision making under uncertainty, integrity, openness, and a commitment to EDI. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us at . For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Executive Assistant Salary: £42,932 - £46,306 per annum, inclusive of London allowance Full-time, permanent London, UK About us The MRC Laboratory of Medical Sciences (LMS) is a biomedical research institute where scientists and clinicians collaborate to advance the understanding of biology and its application to medicine. LMS is one of three directly funded MRC research institutes and enjoys close links with our partners at Imperial College London and at the Imperial College Healthcare NHS Trust. About the role Successful candidate will provide vital, high-level administrative support to the LMS Director and Head of Operations within a fast-paced scientific environment. This dynamic role involves proactively managing complex diaries, resolving high-level scheduling clashes independently, coordinating international travel, and acting as a key liaison for internal and external stakeholders. The role offers a high degree of variety, from drafting correspondence to acting as a delegate for administrative approvals and supporting the Senior Leadership Team. The post holder will also be expected to prepare briefing materials in advance. About You We are looking for a resourceful and reliable professional who thrives when using their initiative to solve problems in novel situations. You should possess exceptional communication skills, with a keen eye for detail and a commitment to maintaining high standards of confidentiality. The ideal candidate can balance competing priorities with tact and diplomacy. If you are a well-organised individual who prides yourself on judgment, social awareness, and ability to work independently, your skills will be highly valued in this challenging yet rewarding position. What we offer As well as the exciting opportunities this role presents, we also offer a defined benefit pension scheme and excellent holiday entitlement (30 days plus 2.5 privilege days & 8 bank holidays), family-friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more - Benefits How to apply For full details of this post and to complete an online application, visit Executive Assistant LMS 2778 - Medical Research Council and upload your CV, names, and contacts of two references along with a cover letter stating why you are applying for this role (providing evidence against the requirements of the job as per the job description and person specification). Applications without a cover letter will not be accepted. Please quote reference number LMS 2778. Closing date: 8 March 2026 Please note that applications may be reviewed by both LMS and Imperial staff
Feb 14, 2026
Full time
Executive Assistant Salary: £42,932 - £46,306 per annum, inclusive of London allowance Full-time, permanent London, UK About us The MRC Laboratory of Medical Sciences (LMS) is a biomedical research institute where scientists and clinicians collaborate to advance the understanding of biology and its application to medicine. LMS is one of three directly funded MRC research institutes and enjoys close links with our partners at Imperial College London and at the Imperial College Healthcare NHS Trust. About the role Successful candidate will provide vital, high-level administrative support to the LMS Director and Head of Operations within a fast-paced scientific environment. This dynamic role involves proactively managing complex diaries, resolving high-level scheduling clashes independently, coordinating international travel, and acting as a key liaison for internal and external stakeholders. The role offers a high degree of variety, from drafting correspondence to acting as a delegate for administrative approvals and supporting the Senior Leadership Team. The post holder will also be expected to prepare briefing materials in advance. About You We are looking for a resourceful and reliable professional who thrives when using their initiative to solve problems in novel situations. You should possess exceptional communication skills, with a keen eye for detail and a commitment to maintaining high standards of confidentiality. The ideal candidate can balance competing priorities with tact and diplomacy. If you are a well-organised individual who prides yourself on judgment, social awareness, and ability to work independently, your skills will be highly valued in this challenging yet rewarding position. What we offer As well as the exciting opportunities this role presents, we also offer a defined benefit pension scheme and excellent holiday entitlement (30 days plus 2.5 privilege days & 8 bank holidays), family-friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more - Benefits How to apply For full details of this post and to complete an online application, visit Executive Assistant LMS 2778 - Medical Research Council and upload your CV, names, and contacts of two references along with a cover letter stating why you are applying for this role (providing evidence against the requirements of the job as per the job description and person specification). Applications without a cover letter will not be accepted. Please quote reference number LMS 2778. Closing date: 8 March 2026 Please note that applications may be reviewed by both LMS and Imperial staff
RF Test Engineer St Neots (PE19) - Permanent - Onsite £38,000 - £48,000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at our head office in St Neots, Cambridgeshire, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support integration testing of RF systems (including calibration, antenna models, and automated test scripts) in our complex synthetic environments. As a key stage of product delivery, you will focus on system level testing across a variety of simulated scenarios, injecting signals into a System Under Test (SUT) to verify and validate its performance. The role will require technical autonomy, liaising with military stakeholders, academia, industry and international partners, to assess the performance of receiver hardware, developing improvements, and providing advice. A secondary focus will be on development and implementation of test scripts to ensure the scenario and SUT performance is captured and understood. These scripts will be deployed to a variety of test equipment (Oscilloscopes, Signal Generators, Spectrum Analysers, and other Special to Type) providing a complete picture to the customer of system performance. This role will give you a unique opportunity to act as an end user/operator of threat models participating in scenarios, applying doctrine, reacting to events, and learning these systems in detail. This task will give unrivalled access to our customers, as well as international partners, with several trials being run each year utilising these models. Working with minimal oversight, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site MASS teams. This is a high visibility role, providing excellent opportunities to talented and enthusiastic candidates. The invaluable experience you ll bring, to help us achieve more. Essential: Experience of analogue or digital RF circuitry. Operation of test equipment in a laboratory environment (e.g. Oscilloscopes, Signal Generators, Spectrum/Network Analysers). Coding experience (e.g. MATLAB, Python, or LabView). Experience completing Verification & Validation activities. STEM Degree or extensive experience with RF Electronics. Desirable: Background in EW systems and concepts, including radar systems. Previous experience working in synthetic testing environments. Experience using or creating automation scripts. Knowledge of network architecture. Knowledge of hardware acceleration technologies. Awareness of simulation and rendering engines (e.g. Unreal, Unity etc.) Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you!
Feb 14, 2026
Full time
RF Test Engineer St Neots (PE19) - Permanent - Onsite £38,000 - £48,000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at our head office in St Neots, Cambridgeshire, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support integration testing of RF systems (including calibration, antenna models, and automated test scripts) in our complex synthetic environments. As a key stage of product delivery, you will focus on system level testing across a variety of simulated scenarios, injecting signals into a System Under Test (SUT) to verify and validate its performance. The role will require technical autonomy, liaising with military stakeholders, academia, industry and international partners, to assess the performance of receiver hardware, developing improvements, and providing advice. A secondary focus will be on development and implementation of test scripts to ensure the scenario and SUT performance is captured and understood. These scripts will be deployed to a variety of test equipment (Oscilloscopes, Signal Generators, Spectrum Analysers, and other Special to Type) providing a complete picture to the customer of system performance. This role will give you a unique opportunity to act as an end user/operator of threat models participating in scenarios, applying doctrine, reacting to events, and learning these systems in detail. This task will give unrivalled access to our customers, as well as international partners, with several trials being run each year utilising these models. Working with minimal oversight, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site MASS teams. This is a high visibility role, providing excellent opportunities to talented and enthusiastic candidates. The invaluable experience you ll bring, to help us achieve more. Essential: Experience of analogue or digital RF circuitry. Operation of test equipment in a laboratory environment (e.g. Oscilloscopes, Signal Generators, Spectrum/Network Analysers). Coding experience (e.g. MATLAB, Python, or LabView). Experience completing Verification & Validation activities. STEM Degree or extensive experience with RF Electronics. Desirable: Background in EW systems and concepts, including radar systems. Previous experience working in synthetic testing environments. Experience using or creating automation scripts. Knowledge of network architecture. Knowledge of hardware acceleration technologies. Awareness of simulation and rendering engines (e.g. Unreal, Unity etc.) Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you!
A leading health technology company in the United Kingdom is looking for a Senior Data Scientist. This role involves analyzing and interpreting clinical data to enhance device performance insights. The ideal candidate will possess strong skills in statistical modeling and Python programming, with at least 4 years of industry experience. You'll collaborate across teams to communicate findings effectively, ensuring data quality and performance clarity. Join us in a fast-paced, mission-driven environment where your analysis shapes critical decisions.
Feb 13, 2026
Full time
A leading health technology company in the United Kingdom is looking for a Senior Data Scientist. This role involves analyzing and interpreting clinical data to enhance device performance insights. The ideal candidate will possess strong skills in statistical modeling and Python programming, with at least 4 years of industry experience. You'll collaborate across teams to communicate findings effectively, ensuring data quality and performance clarity. Join us in a fast-paced, mission-driven environment where your analysis shapes critical decisions.
About the Programme Our mission is bold: to generate data at scale to address fundamental questions about the diversity of life at the genomic level. Our world class programme merges large scale data generation with focussed analysis of pattern and process in evolution, delivering to overarching goals of conservation of biodiversity, fueling a biotechnological progress and contributing to the health of human societies. Who We're Looking For We're seeking an exceptional researcher whose ambitions depend on diverse eukaryotic genomes and large scale analysis. We anticipate recruiting in one of the following areas: Cell atlasing across biodiversity: The Biodiversity Cell Atlas is a growing initiative that aims to use the technologies pioneered by the Human Cell Atlas (and colleagues in the Cellular Genetics Programme at Sanger) to profile species across the eukaryotic tree using single cell functional genomics methods to reveal cell type orthology, discover the origins of distinct cell types and reveal the regulatory systems that generate this diversity. Phylogenomics at megascale: devising algorithms, engineering toolkits and reconstructing phylogenetic relationships of genes and species, exploiting the power of reference quality genomes. Biodiversity AI: Deploying AI to discover fundamental rules of genome organisation across diversity, including gene structure and regulatory system prediction. Direct application of biodiversity genomics data: in conservation, landscape ecology, bioengineering or any other field with clear impact on ongoing problems humanity is facing. If you are not sure whether your research objectives would fit into the Tree of Life, please do get in touch with Mark Blaxter to clarify. Location and Community The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from underrepresented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. Role We intend to recruit at the Group Leader 2 (equivalent to associate professor) or Group Leader 3 (equivalent to full professor) level. These positions are designed for established scientists and offer a very substantial core package, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research without the need for external grants. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a growing team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. Group Leader 2 (GL2) Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Eight year post with review in year six leading to promotion to GL3 or departure by year 8. Group Leader 3 (GL3) Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing appointment with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters, not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, international, and high impact innovation landscape of Cambridge and London. Application Process Your application should include: CV and full publication list + 3 referees. Cover letter summarising your scientific leadership and wider contributions (including diversity and inclusion initiatives, mentorship and public engagement). Research vision addressing a fundamental problem (3 pages + 250 word abstract) demonstrating: Fit with our programme (direction, ambition and scale, explaining why Sanger is the right environment). >What you'll do at Sanger that can't be done elsewhere. Interview Process We believe recruitment should be supportive and transparent. You'll meet with teams across science, strategy, and operations to explore Sanger's full potential. Our process includes: Scientific Talks (on past and future research). Panel interview based on leadership, collaboration, and core behavioural competencies. Stakeholder 1:1 meetings with Group Leaders and Programme leads. We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Redefine What's Possible in Biology? Join us at the Wellcome Sanger Institute and be part of a transformative, AI powered future for life sciences. Help build the next era of synthetic genomics in an environment where your science, your voice, and your career are valued. Closing date: 08 February 2026 Equality, Diversity and Inclusion We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.
Feb 13, 2026
Full time
About the Programme Our mission is bold: to generate data at scale to address fundamental questions about the diversity of life at the genomic level. Our world class programme merges large scale data generation with focussed analysis of pattern and process in evolution, delivering to overarching goals of conservation of biodiversity, fueling a biotechnological progress and contributing to the health of human societies. Who We're Looking For We're seeking an exceptional researcher whose ambitions depend on diverse eukaryotic genomes and large scale analysis. We anticipate recruiting in one of the following areas: Cell atlasing across biodiversity: The Biodiversity Cell Atlas is a growing initiative that aims to use the technologies pioneered by the Human Cell Atlas (and colleagues in the Cellular Genetics Programme at Sanger) to profile species across the eukaryotic tree using single cell functional genomics methods to reveal cell type orthology, discover the origins of distinct cell types and reveal the regulatory systems that generate this diversity. Phylogenomics at megascale: devising algorithms, engineering toolkits and reconstructing phylogenetic relationships of genes and species, exploiting the power of reference quality genomes. Biodiversity AI: Deploying AI to discover fundamental rules of genome organisation across diversity, including gene structure and regulatory system prediction. Direct application of biodiversity genomics data: in conservation, landscape ecology, bioengineering or any other field with clear impact on ongoing problems humanity is facing. If you are not sure whether your research objectives would fit into the Tree of Life, please do get in touch with Mark Blaxter to clarify. Location and Community The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from underrepresented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. Role We intend to recruit at the Group Leader 2 (equivalent to associate professor) or Group Leader 3 (equivalent to full professor) level. These positions are designed for established scientists and offer a very substantial core package, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research without the need for external grants. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a growing team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. Group Leader 2 (GL2) Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Eight year post with review in year six leading to promotion to GL3 or departure by year 8. Group Leader 3 (GL3) Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing appointment with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters, not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, international, and high impact innovation landscape of Cambridge and London. Application Process Your application should include: CV and full publication list + 3 referees. Cover letter summarising your scientific leadership and wider contributions (including diversity and inclusion initiatives, mentorship and public engagement). Research vision addressing a fundamental problem (3 pages + 250 word abstract) demonstrating: Fit with our programme (direction, ambition and scale, explaining why Sanger is the right environment). >What you'll do at Sanger that can't be done elsewhere. Interview Process We believe recruitment should be supportive and transparent. You'll meet with teams across science, strategy, and operations to explore Sanger's full potential. Our process includes: Scientific Talks (on past and future research). Panel interview based on leadership, collaboration, and core behavioural competencies. Stakeholder 1:1 meetings with Group Leaders and Programme leads. We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Redefine What's Possible in Biology? Join us at the Wellcome Sanger Institute and be part of a transformative, AI powered future for life sciences. Help build the next era of synthetic genomics in an environment where your science, your voice, and your career are valued. Closing date: 08 February 2026 Equality, Diversity and Inclusion We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.
Pricing Analyst London - Hybrid 35,000 - 45,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working Are you looking to join a company that can propel your career forward, and also provide you with a brilliant package so you enjoy your life inside and outside of work? Are you looking to play a key part in an exciting team in a highly reputable business? This company offer a brilliant service and are the leading car leasing company within the UK. With a fantastic client base and working with some of the biggest brands out there you would be joining a great company where you will feel valued and part of a team. In this role you will work in a small team with like minded analysts out of the asset risk team to provide market knowledge and insight regarding the pricing of the companies assets. Working with Data Scientists within the business and using market data you will provide insight to stakeholders and managers regarding the the companies pricing of vehicles showcasing your stakeholder management skills and data analytics skills. The ideal candidate will be able to analyse data and provide insight to report findings to key stakeholders and managers therefore having excellent communication skills. You will need to have had previous pricing analyst experience and come from a financial / pricing background. Strong excel skills is required. SQL/Snowflake/Power BI is advantageous but not essential. Good manual skills with spreadsheets will be useful. This is a fantastic opportunity for a Pricing Analyst to join a fantastic and rewarding company and continue the growth and development in their career with great progression opportunities and work life balance at this company. The Role: Collaborate with a small team of analysts in Asset Risk team to deliver market insights on pricing. Work closely with Data Scientists and utilise market data to inform pricing decisions with stakholders. Showcase excel and Power BI skills The Person: Strong analytical skills with the ability to interpret data and provide actionable insights within pricing. Excellent communication skills to effectively present findings to stakeholders and managers. Previous experience in a pricing analyst role. Able to work independently while also contributing collaboratively within a team. Can commute to central London 3 times per week. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Feb 13, 2026
Full time
Pricing Analyst London - Hybrid 35,000 - 45,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working Are you looking to join a company that can propel your career forward, and also provide you with a brilliant package so you enjoy your life inside and outside of work? Are you looking to play a key part in an exciting team in a highly reputable business? This company offer a brilliant service and are the leading car leasing company within the UK. With a fantastic client base and working with some of the biggest brands out there you would be joining a great company where you will feel valued and part of a team. In this role you will work in a small team with like minded analysts out of the asset risk team to provide market knowledge and insight regarding the pricing of the companies assets. Working with Data Scientists within the business and using market data you will provide insight to stakeholders and managers regarding the the companies pricing of vehicles showcasing your stakeholder management skills and data analytics skills. The ideal candidate will be able to analyse data and provide insight to report findings to key stakeholders and managers therefore having excellent communication skills. You will need to have had previous pricing analyst experience and come from a financial / pricing background. Strong excel skills is required. SQL/Snowflake/Power BI is advantageous but not essential. Good manual skills with spreadsheets will be useful. This is a fantastic opportunity for a Pricing Analyst to join a fantastic and rewarding company and continue the growth and development in their career with great progression opportunities and work life balance at this company. The Role: Collaborate with a small team of analysts in Asset Risk team to deliver market insights on pricing. Work closely with Data Scientists and utilise market data to inform pricing decisions with stakholders. Showcase excel and Power BI skills The Person: Strong analytical skills with the ability to interpret data and provide actionable insights within pricing. Excellent communication skills to effectively present findings to stakeholders and managers. Previous experience in a pricing analyst role. Able to work independently while also contributing collaboratively within a team. Can commute to central London 3 times per week. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
POSITION SUMMARY You will provide clinical and scientific oversight and support for multiple, global Phase 1 - 4 clinical studies in support of the development strategy for programs within the Vaccines portfolio. POSITION RESPONSIBILITIES Maintains current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment click apply for full job details
Feb 13, 2026
Full time
POSITION SUMMARY You will provide clinical and scientific oversight and support for multiple, global Phase 1 - 4 clinical studies in support of the development strategy for programs within the Vaccines portfolio. POSITION RESPONSIBILITIES Maintains current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment click apply for full job details
About Sava All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way. The Role We are hiring a Senior Data Scientist (Clinical Data Analytics) to play a central role in the analysis and interpretation of clinical data collected from in-vivo testing of our device. You will be responsible for transforming time-series clinical datasets into actionable insights that inform device performance evaluation and broader company decisions. The role is highly cross-functional. You will work closely with the clinical team to support trial design and data review and with R&D teams to provide data-driven input on device behavior, performance, and potential failure modes observed in real-world use. A key part of the role is not only quantifying performance, but also identifying and characterising issues or limitations in the data and clearly communicating them. As our clinical programs expand, the volume and complexity of collected data will continue to grow. This role is therefore critical in ensuring that performance trends and uncertainties are rigorously assessed and communicated at both a technical and high-level summary view. The ideal candidate is comfortable owning analyses end-to-end and can effectively translate detailed statistical findings into insights that are accessible to a broad set of stakeholders across the organisation. What You'll Do Analyse and manipulate clinical time-series data from in-vivo studies to evaluate sensor behavior, and use additional data sources to perform root-cause analysis when issues are observed. Build, maintain, and improve reproducible analysis pipelines to support scalable processing of clinical data. Investigate data quality issues, performance variability, and potential sensor limitations, and clearly communicate findings to clinical, R&D, and cross-functional teams. Act as a central analytical reference for clinical sensor performance, ensuring that results are interpreted consistently and rigorously across studies. Help establish and evolve methodologies and best practices for clinical data analysis as the company's clinical programs expand. Support long-term product and research decisions by translating complex clinical data into high-level performance trends and risks. What We're Looking For Degree (MS) in Data Science, Biomedical Engineering, Statistics, or a related quantitative field. At least 4 years of industry experience working with complex datasets, in an R&D environment. Strong ability to analyse and interpret complex clinical and sensor data, with a focus on time-series data. Solid grounding in statistical analysis and modeling, including understanding assumptions and limitations of different approaches. Strong understanding of signal processing fundamentals Proficiency in Python for data analysis, including writing clear and maintainable code for time-series processing and statistical analysis Experience querying and working with relational and non-relational databases to support analysis and reporting Strong knowledge of SQL for data querying, manipulation, and aggregation across large datasets Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience using data visualisation tools (e.g., Power BI or similar) to communicate insights and performance trends effectively. Strong interest in biomedical and physiological data, with the motivation to understand sensor behavior and underlying mechanisms. Comfortable working in a cross-functional and fast-paced environment, collaborating with clinical, R&D, and other teams. Ability to clearly communicate analytical results, limitations, and trade-offs to both technical and non-technical stakeholders. Proactive mindset, with a sense of ownership over analyses and outcomes Bonus Points For Experience in biotech companies Previous experience with CGM sensor data or physiological signals Experience in a start-up or scale-up environment Why Sava? This is a high-ownership, high-responsibility role in a company that's building something complex, meaningful, and fast. The expectations are high, the learning curve is steep, and the work is often messy - but the impact is real. We don't have room for egos or passengers. What we do have is a team of thoughtful, driven, and mission-aligned people who are committed to building something better-and doing it with urgency and integrity.
Feb 13, 2026
Full time
About Sava All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way. The Role We are hiring a Senior Data Scientist (Clinical Data Analytics) to play a central role in the analysis and interpretation of clinical data collected from in-vivo testing of our device. You will be responsible for transforming time-series clinical datasets into actionable insights that inform device performance evaluation and broader company decisions. The role is highly cross-functional. You will work closely with the clinical team to support trial design and data review and with R&D teams to provide data-driven input on device behavior, performance, and potential failure modes observed in real-world use. A key part of the role is not only quantifying performance, but also identifying and characterising issues or limitations in the data and clearly communicating them. As our clinical programs expand, the volume and complexity of collected data will continue to grow. This role is therefore critical in ensuring that performance trends and uncertainties are rigorously assessed and communicated at both a technical and high-level summary view. The ideal candidate is comfortable owning analyses end-to-end and can effectively translate detailed statistical findings into insights that are accessible to a broad set of stakeholders across the organisation. What You'll Do Analyse and manipulate clinical time-series data from in-vivo studies to evaluate sensor behavior, and use additional data sources to perform root-cause analysis when issues are observed. Build, maintain, and improve reproducible analysis pipelines to support scalable processing of clinical data. Investigate data quality issues, performance variability, and potential sensor limitations, and clearly communicate findings to clinical, R&D, and cross-functional teams. Act as a central analytical reference for clinical sensor performance, ensuring that results are interpreted consistently and rigorously across studies. Help establish and evolve methodologies and best practices for clinical data analysis as the company's clinical programs expand. Support long-term product and research decisions by translating complex clinical data into high-level performance trends and risks. What We're Looking For Degree (MS) in Data Science, Biomedical Engineering, Statistics, or a related quantitative field. At least 4 years of industry experience working with complex datasets, in an R&D environment. Strong ability to analyse and interpret complex clinical and sensor data, with a focus on time-series data. Solid grounding in statistical analysis and modeling, including understanding assumptions and limitations of different approaches. Strong understanding of signal processing fundamentals Proficiency in Python for data analysis, including writing clear and maintainable code for time-series processing and statistical analysis Experience querying and working with relational and non-relational databases to support analysis and reporting Strong knowledge of SQL for data querying, manipulation, and aggregation across large datasets Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience using data visualisation tools (e.g., Power BI or similar) to communicate insights and performance trends effectively. Strong interest in biomedical and physiological data, with the motivation to understand sensor behavior and underlying mechanisms. Comfortable working in a cross-functional and fast-paced environment, collaborating with clinical, R&D, and other teams. Ability to clearly communicate analytical results, limitations, and trade-offs to both technical and non-technical stakeholders. Proactive mindset, with a sense of ownership over analyses and outcomes Bonus Points For Experience in biotech companies Previous experience with CGM sensor data or physiological signals Experience in a start-up or scale-up environment Why Sava? This is a high-ownership, high-responsibility role in a company that's building something complex, meaningful, and fast. The expectations are high, the learning curve is steep, and the work is often messy - but the impact is real. We don't have room for egos or passengers. What we do have is a team of thoughtful, driven, and mission-aligned people who are committed to building something better-and doing it with urgency and integrity.
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Feb 13, 2026
Full time
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Feb 13, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
A global consulting firm is seeking a Lead Data Scientist specializing in AI/ML to design and operationalize analytics solutions. The role involves leadership, guiding teams, and embedding AI into products. Candidates must have 5+ years in ML, proficiency in Python, and experience with cloud services like AWS and Azure. This hybrid position offers flexible working arrangements while ensuring a healthy work-life balance.
Feb 13, 2026
Full time
A global consulting firm is seeking a Lead Data Scientist specializing in AI/ML to design and operationalize analytics solutions. The role involves leadership, guiding teams, and embedding AI into products. Candidates must have 5+ years in ML, proficiency in Python, and experience with cloud services like AWS and Azure. This hybrid position offers flexible working arrangements while ensuring a healthy work-life balance.
About the team You'll join ZOE's Product team, which sets product direction across the company. This is not a feature-delivery role - PMs at ZOE are expected to think strategically, make decisions, and own outcomes. You'll define problems, make trade-offs, and work closely with partners across Engineering, Design, Data Science, and Nutrition Science. Reporting directly to the Chief Product Officer, you'll work with Product leadership to build and scale an app designed to improve the health of millions. As part of the centralised Product team, you'll help drive a consistent experience across the ZOE ecosystem and ship products grounded in science and real user impact. About the role & impact As the Product Manager for our E-commerce Platform, you will own the technical foundation that powers how people discover, evaluate, and purchase ZOE. This role is about building the right platform for growth: scalable, reliable, and designed for rapid experimentation. You'll ensure teams can move fast, test ideas, and learn what truly helps users get started on their health journey. You are the gateway into ZOE. The choices you make determine how easily people can access our science and begin improving their health. You'll work closely with Engineering, Design, Data, and Science partners to translate complex health and microbiome concepts into a clear, trustworthy experience, without compromising scientific integrity. You'll define platform capabilities, set standards for experimentation and measurement, and make trade-offs that balance speed, quality, and long term scalability. When you succeed, more people reach the science and health they deserve, and ZOE has a platform built to grow with them. What you will do Lead the strategy for our web storefront and checkout flows, turning complex biological testing concepts into a frictionless, high converting experience. Collaborate with our world class scientists to translate Gut Microbiome, Blood Sugar, and Blood Fat insights into a compelling commercial narrative. Optimise the transition from a one time kit purchase to a long term health membership, balancing immediate revenue with Life Time Value (LTV). Use data (e.g. Mixpanel) to identify friction. You don't just report data; you provide the "so what" that changes our trajectory. You will lead by example in discovery, documentation (PRDs), and data led decision making. Serve as a strategic partner to Engineering, Branding and Commercial ensuring the e commerce roadmap is aligned with broader company milestones. Who you are 5+ years in Product Management, ideally within E commerce or Growth. Familiarity with modern commerce stacks (Shopify, Headless CMS, or custom built checkout engines). You don't wait for a roadmap; you build it. You thrive in fast paced environments where you need to manage multiple high stakes stakeholders simultaneously. You can explain a complex technical trade off to a non technical founder just as easily as you can discuss API architecture with an engineer. You have a track record of mentoring others. You take pride in seeing your mentees succeed and are skilled at giving constructive, high tension feedback. Our Hiring Process We value your time and aim for a transparent, efficient experience. Our process is designed to evaluate your strategic thinking, technical commerce expertise, and alignment with our mission to improve global health. Talent Acquisition Screen (30 min). We'll dive into your background, your career motivations, and your initial "why" for joining ZOE. Hiring Manager Deep Dive (30 min). This is a high level technical and strategic conversation covering your experience scaling e commerce platforms and your approach to product ownership. The Remote Loop. We don't do back to back marathon interviews. Instead, we schedule these three sessions over a window of 10 working days to give you space to be at your best. Case Study & Deep Dive (60 min): You will receive a brief e commerce challenge (intended to take 4 hours) focusing on a ZOE specific product problem. You'll present your strategy followed by a technical and UX deep dive with a panel of interviewers. Cross Functional Partnership (45 min): You'll meet your future partners. We'll explore how you translate complex biological data into a commercial narrative and how you manage high stakes stakeholder trade offs. Leadership & Values (45 min): A final session with our CPO and CEO. This is about "Founder Mentality", discussing long term vision, ethical health tech dilemmas, and your track record of mentoring and elevating those around you. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Feb 13, 2026
Full time
About the team You'll join ZOE's Product team, which sets product direction across the company. This is not a feature-delivery role - PMs at ZOE are expected to think strategically, make decisions, and own outcomes. You'll define problems, make trade-offs, and work closely with partners across Engineering, Design, Data Science, and Nutrition Science. Reporting directly to the Chief Product Officer, you'll work with Product leadership to build and scale an app designed to improve the health of millions. As part of the centralised Product team, you'll help drive a consistent experience across the ZOE ecosystem and ship products grounded in science and real user impact. About the role & impact As the Product Manager for our E-commerce Platform, you will own the technical foundation that powers how people discover, evaluate, and purchase ZOE. This role is about building the right platform for growth: scalable, reliable, and designed for rapid experimentation. You'll ensure teams can move fast, test ideas, and learn what truly helps users get started on their health journey. You are the gateway into ZOE. The choices you make determine how easily people can access our science and begin improving their health. You'll work closely with Engineering, Design, Data, and Science partners to translate complex health and microbiome concepts into a clear, trustworthy experience, without compromising scientific integrity. You'll define platform capabilities, set standards for experimentation and measurement, and make trade-offs that balance speed, quality, and long term scalability. When you succeed, more people reach the science and health they deserve, and ZOE has a platform built to grow with them. What you will do Lead the strategy for our web storefront and checkout flows, turning complex biological testing concepts into a frictionless, high converting experience. Collaborate with our world class scientists to translate Gut Microbiome, Blood Sugar, and Blood Fat insights into a compelling commercial narrative. Optimise the transition from a one time kit purchase to a long term health membership, balancing immediate revenue with Life Time Value (LTV). Use data (e.g. Mixpanel) to identify friction. You don't just report data; you provide the "so what" that changes our trajectory. You will lead by example in discovery, documentation (PRDs), and data led decision making. Serve as a strategic partner to Engineering, Branding and Commercial ensuring the e commerce roadmap is aligned with broader company milestones. Who you are 5+ years in Product Management, ideally within E commerce or Growth. Familiarity with modern commerce stacks (Shopify, Headless CMS, or custom built checkout engines). You don't wait for a roadmap; you build it. You thrive in fast paced environments where you need to manage multiple high stakes stakeholders simultaneously. You can explain a complex technical trade off to a non technical founder just as easily as you can discuss API architecture with an engineer. You have a track record of mentoring others. You take pride in seeing your mentees succeed and are skilled at giving constructive, high tension feedback. Our Hiring Process We value your time and aim for a transparent, efficient experience. Our process is designed to evaluate your strategic thinking, technical commerce expertise, and alignment with our mission to improve global health. Talent Acquisition Screen (30 min). We'll dive into your background, your career motivations, and your initial "why" for joining ZOE. Hiring Manager Deep Dive (30 min). This is a high level technical and strategic conversation covering your experience scaling e commerce platforms and your approach to product ownership. The Remote Loop. We don't do back to back marathon interviews. Instead, we schedule these three sessions over a window of 10 working days to give you space to be at your best. Case Study & Deep Dive (60 min): You will receive a brief e commerce challenge (intended to take 4 hours) focusing on a ZOE specific product problem. You'll present your strategy followed by a technical and UX deep dive with a panel of interviewers. Cross Functional Partnership (45 min): You'll meet your future partners. We'll explore how you translate complex biological data into a commercial narrative and how you manage high stakes stakeholder trade offs. Leadership & Values (45 min): A final session with our CPO and CEO. This is about "Founder Mentality", discussing long term vision, ethical health tech dilemmas, and your track record of mentoring and elevating those around you. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Feb 13, 2026
Full time
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
