Job Purpose The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow , working with Principal Investigator, Dr Stephen Carter, and in collaboration with Prof. Martin Bushell at the CRUK-SI. CRUK-SI is one of the world's leading cancer research centres. It supports cutting edge discovery research into the molecular mechanisms of cancer development. This ambitious project is funded by a UKRI Future Leaders Fellowship (FLF), initially for 18 months with a potential for a three year extension, and focuses on investigating the architecture of PML bodies and other nuclear condensates. We are looking to recruit a structural or cellular biologist to develop and apply ultrastructural methodologies at the heart of this project using cryo electron tomography (cryo ET) combined with cryogenic correlated light and electron microscopy (cryo CLEM) and cryo focused ion beam (cryo FIB) milling. This programme will involve state of the art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate will be trained in how to apply cryo ET coupled with fluorescence to map key functional proteins and contribute to the study of the molecular mechanisms governing the assembly, composition and function of PML bodies and other nuclear condensates. The ideal candidate will have experience in molecular biology, cryo EM sample preparation techniques, processing skills of cryo tomograms, and be self motivated in designing and executing cryo ET experiments. The Cancer Research UK Scotland Institute has access to instrumentation in the Scottish Centre for Macromolecular Imaging (SCMI) , such as the JEOL CRYO ARM 300 electron microscope, Leica EM GP2, a cryo FIB instrument with a Quorum transfer stage, and the Leica THUNDER Imager EM cryo CLEM microscope. This technology will allow the candidate to develop their skills to target events that happen deep in the cell so we can see more of the molecular mechanisms that drive the formation, maintenance and disruption of PML bodies and other nuclear condensates. Main Duties and Responsibilities Collaborate with colleagues and participate in team/group meetings/seminars/workshops with our CRUK SI colleagues, the MRC University of Glasgow Centre for Virus Research (CVR), and the wider community. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and the research strategy of the CRUK SI. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. Develop and enhance your research profile and reputation and that of the CRUK SI, including contributing to publications of international quality in high profile refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. Perform administrative tasks related to the activities of the research group and CRUK SI, including budgets/expenditure. Carry out modest teaching activities (e.g. demonstrating) and associated administration as assigned in consultation with the Principal Investigator. Keep up to date with current knowledge and recent advances in the field/discipline. Engage in continuing professional development activities as appropriate. Undertake any other reasonable duties as required by the Principal Investigator. Contribute to the enhancement of the University's international profile in line with the University's Strategic Plan, World Changers Together. For Appointment at Grade 7 Perform the above duties with a higher degree of independence, leadership, and responsibility, particularly in relation to planning, funding, collaborating, and publishing research, and mentoring colleagues. Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area. Survey the research literature and environment, understand the research challenges associated with the project and subject area, and develop/implement a suitable research strategy. Notice Please note that as part of your application you must address and demonstrate how you meet each of the essential/desirable criteria. If you do not address each criterion in the format explained below you will not be shortlisted for interview. Knowledge, Qualifications, Skills, and Experience Knowledge/Qualifications Essential A1: Scottish Credit and Qualification level 10 (Honours degree or equivalent) in a biological science or other relevant subject. May be working towards a post graduate qualification such as a Masters (Scottish Credit and Qualification Framework level 11). A2: (For Appointment at Grade 7) Normally Scottish Credit and Qualification Framework level 12 (PhD) in cell biology, structural biology or related field, such as X ray crystallography or NMR, or possess professional qualifications and experience equivalent to PhD level plus the requisite experience. Desirable B1: Working towards or completed a PhD in cell biology, structural biology or related field, such as X ray crystallography or NMR. B2: Qualifications received or pending from internationally renowned institutions/laboratories. Skills Essential C1: A strong background in cellular or structural biology data collection and image processing. C2: Research creativity and cross discipline collaborative ability. C3: Excellent interpersonal skills including team working and a collegiate approach. C4: Excellent communication skills (oral and written), including public presentation and the ability to communicate complex concepts clearly and concisely. C5: A high degree of competence in English scientific writing and speaking. C6: Appropriate workload/time/project/budget/people management skills. C7: IT and data analysis/interpretation skills. C8: Highly motivated, able to use initiative and quick to learn new techniques. C9: Creative, flexible and pragmatic approach to solving research problems. For Appointment at Grade 7 C10: Good team leadership skills including demonstrable supervisory skills. Desirable D1: Knowledge of cryo CLEM. D2: Knowledge of image segmenting within 3D volumes using Imaris or Amira. D3: Laboratory data handling and management skills; e.g. statistical analysis (Excel, R, Python, Prism etc). D4: Knowledge of applying artificial intelligence and/or machine learning approaches to biological image analysis or data interpretation. Experience Essential E1: Sufficient breadth and/or depth of knowledge in the specialist subject discipline and of research/teaching methods and techniques to work in cell and structural biology, demonstrated through relevant work experience. E2: Experience with IMOD, EMAN2, Relion 4, and ChimeraX. E3: Proven ability to deliver quality outputs (such as publications) in a timely and efficient manner. E4: Evidence of an emerging track record of publications in a relevant field. For Appointment at Grade 7 E5: Sufficient breadth and/or depth of knowledge in the specialist subject/discipline and of research/teaching methods and techniques to work within the subject area, as demonstrated through relevant post doctoral work experience including independence illustrated by identification of project objectives, design/analysis of experiments, and drafting of scientific publications. E6: Established publication track record in a relevant field of research, including at least one first author article in an appropriate impact international scientific journal. Desirable F1: Experience with culturing mammalian cells. F2: Experience with writing and implementing scripts using Python etc. F3: Experience with super resolution fluorescence microscopy and its application to cell biology. F4: An emerging national or international reputation. Informal enquiries Informal enquiries should be directed to Dr Stephen Carter Terms and Conditions Salary will be Grade 6/7, £33,951 - £37,694 / £41,064 - £46,049 per annum. This post is full time (35 hours per week) and has funding available until 1 August 2027. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules . click apply for full job details
Mar 09, 2026
Full time
Job Purpose The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow , working with Principal Investigator, Dr Stephen Carter, and in collaboration with Prof. Martin Bushell at the CRUK-SI. CRUK-SI is one of the world's leading cancer research centres. It supports cutting edge discovery research into the molecular mechanisms of cancer development. This ambitious project is funded by a UKRI Future Leaders Fellowship (FLF), initially for 18 months with a potential for a three year extension, and focuses on investigating the architecture of PML bodies and other nuclear condensates. We are looking to recruit a structural or cellular biologist to develop and apply ultrastructural methodologies at the heart of this project using cryo electron tomography (cryo ET) combined with cryogenic correlated light and electron microscopy (cryo CLEM) and cryo focused ion beam (cryo FIB) milling. This programme will involve state of the art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate will be trained in how to apply cryo ET coupled with fluorescence to map key functional proteins and contribute to the study of the molecular mechanisms governing the assembly, composition and function of PML bodies and other nuclear condensates. The ideal candidate will have experience in molecular biology, cryo EM sample preparation techniques, processing skills of cryo tomograms, and be self motivated in designing and executing cryo ET experiments. The Cancer Research UK Scotland Institute has access to instrumentation in the Scottish Centre for Macromolecular Imaging (SCMI) , such as the JEOL CRYO ARM 300 electron microscope, Leica EM GP2, a cryo FIB instrument with a Quorum transfer stage, and the Leica THUNDER Imager EM cryo CLEM microscope. This technology will allow the candidate to develop their skills to target events that happen deep in the cell so we can see more of the molecular mechanisms that drive the formation, maintenance and disruption of PML bodies and other nuclear condensates. Main Duties and Responsibilities Collaborate with colleagues and participate in team/group meetings/seminars/workshops with our CRUK SI colleagues, the MRC University of Glasgow Centre for Virus Research (CVR), and the wider community. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and the research strategy of the CRUK SI. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. Develop and enhance your research profile and reputation and that of the CRUK SI, including contributing to publications of international quality in high profile refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. Perform administrative tasks related to the activities of the research group and CRUK SI, including budgets/expenditure. Carry out modest teaching activities (e.g. demonstrating) and associated administration as assigned in consultation with the Principal Investigator. Keep up to date with current knowledge and recent advances in the field/discipline. Engage in continuing professional development activities as appropriate. Undertake any other reasonable duties as required by the Principal Investigator. Contribute to the enhancement of the University's international profile in line with the University's Strategic Plan, World Changers Together. For Appointment at Grade 7 Perform the above duties with a higher degree of independence, leadership, and responsibility, particularly in relation to planning, funding, collaborating, and publishing research, and mentoring colleagues. Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area. Survey the research literature and environment, understand the research challenges associated with the project and subject area, and develop/implement a suitable research strategy. Notice Please note that as part of your application you must address and demonstrate how you meet each of the essential/desirable criteria. If you do not address each criterion in the format explained below you will not be shortlisted for interview. Knowledge, Qualifications, Skills, and Experience Knowledge/Qualifications Essential A1: Scottish Credit and Qualification level 10 (Honours degree or equivalent) in a biological science or other relevant subject. May be working towards a post graduate qualification such as a Masters (Scottish Credit and Qualification Framework level 11). A2: (For Appointment at Grade 7) Normally Scottish Credit and Qualification Framework level 12 (PhD) in cell biology, structural biology or related field, such as X ray crystallography or NMR, or possess professional qualifications and experience equivalent to PhD level plus the requisite experience. Desirable B1: Working towards or completed a PhD in cell biology, structural biology or related field, such as X ray crystallography or NMR. B2: Qualifications received or pending from internationally renowned institutions/laboratories. Skills Essential C1: A strong background in cellular or structural biology data collection and image processing. C2: Research creativity and cross discipline collaborative ability. C3: Excellent interpersonal skills including team working and a collegiate approach. C4: Excellent communication skills (oral and written), including public presentation and the ability to communicate complex concepts clearly and concisely. C5: A high degree of competence in English scientific writing and speaking. C6: Appropriate workload/time/project/budget/people management skills. C7: IT and data analysis/interpretation skills. C8: Highly motivated, able to use initiative and quick to learn new techniques. C9: Creative, flexible and pragmatic approach to solving research problems. For Appointment at Grade 7 C10: Good team leadership skills including demonstrable supervisory skills. Desirable D1: Knowledge of cryo CLEM. D2: Knowledge of image segmenting within 3D volumes using Imaris or Amira. D3: Laboratory data handling and management skills; e.g. statistical analysis (Excel, R, Python, Prism etc). D4: Knowledge of applying artificial intelligence and/or machine learning approaches to biological image analysis or data interpretation. Experience Essential E1: Sufficient breadth and/or depth of knowledge in the specialist subject discipline and of research/teaching methods and techniques to work in cell and structural biology, demonstrated through relevant work experience. E2: Experience with IMOD, EMAN2, Relion 4, and ChimeraX. E3: Proven ability to deliver quality outputs (such as publications) in a timely and efficient manner. E4: Evidence of an emerging track record of publications in a relevant field. For Appointment at Grade 7 E5: Sufficient breadth and/or depth of knowledge in the specialist subject/discipline and of research/teaching methods and techniques to work within the subject area, as demonstrated through relevant post doctoral work experience including independence illustrated by identification of project objectives, design/analysis of experiments, and drafting of scientific publications. E6: Established publication track record in a relevant field of research, including at least one first author article in an appropriate impact international scientific journal. Desirable F1: Experience with culturing mammalian cells. F2: Experience with writing and implementing scripts using Python etc. F3: Experience with super resolution fluorescence microscopy and its application to cell biology. F4: An emerging national or international reputation. Informal enquiries Informal enquiries should be directed to Dr Stephen Carter Terms and Conditions Salary will be Grade 6/7, £33,951 - £37,694 / £41,064 - £46,049 per annum. This post is full time (35 hours per week) and has funding available until 1 August 2027. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules . click apply for full job details
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Mar 07, 2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Cambridge University Press
Cambridge, Cambridgeshire
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Mar 02, 2026
Full time
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Feb 27, 2026
Full time
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The opportunity We are seeking a Principal Data Scientist, Computational Biology to join Relation, working at the intersection of single cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. Your responsibilities Analyse and interpret single cell, spatial, and other multi omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. Develop and apply statistical and computational methods for transcriptomics and related omics data. Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. Work with experimental teams to help design experiments and validate computational hypotheses. Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. Strong experience working with high dimensional biological data, including transcriptomics and other omics modalities. Proficiency in Python, with experience in scientific computing and data analysis. A solid understanding of statistical modelling and quantitative methods applied to biological data. Experience with Bayesian models. Desirable knowledge or experiences Hands on experience with single cell and/or spatial omics data, including patient derived samples. Familiarity with machine learning approaches used in biological or biomedical research. Experience working in interdisciplinary teams spanning biology, data science, and ML. Exposure to scalable computing environments. Personally, you are A collaborative, inclusive team player who thrives in interdisciplinary environments. A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. Curious, impact driven, and motivated by scientific discovery. Humble, open minded, and eager to learn. Passionate about applying data and science to improve patients' lives. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Feb 17, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The opportunity We are seeking a Principal Data Scientist, Computational Biology to join Relation, working at the intersection of single cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. Your responsibilities Analyse and interpret single cell, spatial, and other multi omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. Develop and apply statistical and computational methods for transcriptomics and related omics data. Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. Work with experimental teams to help design experiments and validate computational hypotheses. Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. Professionally, you have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. Strong experience working with high dimensional biological data, including transcriptomics and other omics modalities. Proficiency in Python, with experience in scientific computing and data analysis. A solid understanding of statistical modelling and quantitative methods applied to biological data. Experience with Bayesian models. Desirable knowledge or experiences Hands on experience with single cell and/or spatial omics data, including patient derived samples. Familiarity with machine learning approaches used in biological or biomedical research. Experience working in interdisciplinary teams spanning biology, data science, and ML. Exposure to scalable computing environments. Personally, you are A collaborative, inclusive team player who thrives in interdisciplinary environments. A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. Curious, impact driven, and motivated by scientific discovery. Humble, open minded, and eager to learn. Passionate about applying data and science to improve patients' lives. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
