University of Glasgow
City, Glasgow
Applied Data Scientist - Health and AI (Trusted Research Environment) Research Track Job Purpose To provide advanced analytical, epidemiological, and data science support for research projects using NHS data hosted within the Trusted Research Environment (TRE). The postholder will work closely with investigators from NHS Greater Glasgow and Clyde (NHSGGC), the University of Glasgow (UofG), and industry partners to translate research ideas into robust analytical plans, ensure data are appropriately specified and prepared for analysis, and deliver high quality, reproducible outputs. The role focuses on real world health data analysis - including study design, data wrangling, phenotype development, data integration, and statistical and machine learning methods - to accelerate project delivery, strengthen grant applications, and advance the overall research capability of the TRE. Main Duties and Responsibilities Support principal investigators by designing and implementing robust analytical and statistical workflows for complex clinical and population health datasets hosted in the TRE - including data wrangling, quality assessment, phenotype development, and exploratory analyses. Develop reproducible and transparent analytical pipelines, ensuring data provenance, version control, and adherence to ethical and governance standards. Working closely with clinicians, researchers, and data engineers across NHS and UofG to define project data requirements, optimise analytical design, and translate research questions into executable analyses. Lead on technical aspects of data integration, statistical and machine learning model development, validation, interpretability, and deployment within the secure TRE environment. Ensure all research activities comply with NHS data governance, ISO standards, and the TRE's ethical frameworks. Contribute to demonstration and exemplar projects (e.g., multimodal data integration, digital phenotyping, predictive analytics) that highlight the TRE's analytical and AI capabilities. Act as liaison between NHS Safe Haven, academic researchers, and University Services (e.g., Information Services, Centre for Data Science and AI) advising on data specifications, study design, and appropriate analytical methodologies. Support the training and mentoring of researchers and students in applied health data science, statistical methods, and TRE workflows. Perform administrative and governance related tasks relevant to TRE operations, including documentation, data access tracking, and project coordination. Keep up to date with current knowledge and recent advances in the field / discipline. Contribute to research outputs, grant applications, and dissemination activities that strengthen TRE capabilities and support collaborative funding bids. Participate and engage with national and cross institutional AI/TRE initiatives and networks as appropriate. Undertake any other reasonable duties as required by the Head of School / Director of Clinical TRE. Contribute to the enhancement of the University's international profile in line with the University Strategy. Knowledge, Qualifications, Skills and Experience Knowledge / Qualifications Essential A1 Scottish Credit and Qualification Framework level 12 (PhD) in a relevant discipline such as Epidemiology, Biostatistics, Health Data Science, or Health Informatics. A2 Strong knowledge of epidemiological and biostatistical principles applied to healthcare data, with experience integrating these with data science or AI/ML methods. A3 Demonstrable understanding of data governance and regulatory requirements for clinical data, including anonymisation, secure data handling protocols and workflows underpinning Trusted Research Environments (TREs). A4 Understanding of study design, phenotype development, and data quality assessment in real world healthcare research. Desirable B1 Additional formal training or certification in Epidemiology, Biostatistics, Health Informatics, or Applied AI in Healthcare. B2 Knowledge of data standards and interoperability frameworks (e.g., OMOP, FHIR, SNOMED CT, ICD 10) relevant to real world data integration. B3 Understanding of computable phenotypes, data harmonisation, or ontology development for clinical research. B4 Awareness of federated analytics, privacy preserving computation, or distributed learning within Trusted Research Environments. Skills Essential C1 Proficiency in R and/or Python, with strong skills in health data wrangling, cleaning, integration, and visualisation; experience with analytical and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn). C2 Ability to manipulate, analyse, and interpret large or complex healthcare datasets within secure computing environments, ensuring reproducibility and integrity. C3 Excellent communication and interpersonal skills to work across interdisciplinary teams in both academic and clinical environments. C4 Proven ability to explain analytical findings and complex technical concepts to non specialist stakeholders, including clinicians, policymakers, and industry partners. C5 Problem solving mindset with the ability to work independently and manage multiple priorities. Desirable D1 Experience in developing reproducible analysis pipelines using tools such as Git, Docker, or workflow managers. D2 Strong skills in data visualisation and dashboarding (e.g., R Shiny, Plotly, Dash, Power BI) for communicating insights to clinical and policy audiences. D3 Familiarity with advanced analytical techniques, such as causal inference, predictive modelling, or survival analysis in health data contexts. Experience Essential E1 Significant experience in applied health data analysis - including study design, data specification, data wrangling, statistical analysis, and (where appropriate) machine learning model development or evaluation. E2 Experience working with sensitive health or clinical datasets within secure research environments or safe havens. E3 Experience contributing to research publications, technical reports, or grant funded projects through provision of analytical and methodological expertise. E4 Experience working within data governance and ethical frameworks, ideally in healthcare or public sector research. E5 Proven commitment to supporting the career development of colleagues and to other forms of collegiality appropriate to the career stage. Desirable F1 Prior experience supporting Safe Haven/TRE governance committees, data access processes, or technical advisory groups. F2 Contribution to open source tools, data models, or methods for healthcare analytics or AI reproducibility. F3 Experience in preparing grant applications or preliminary data analyses that directly supported successful research funding. F4 Evidence of continuous professional development in health data science, AI ethics, or digital health innovation. Informal enquiries should be directed toProfessor Sandosh Padmanabhan, Previous applicants should not re apply for this position. Terms and Conditions Salary will be Grade 7, £41,064 - £46,049 per annum. This post is full time (35 hours p/w) and has funding for up to 3 years initially. Relocation assistance will be provided where appropriate. As a valued member of our team, you can expect: A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6 month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing date 8 January 2026 at 23:45
Applied Data Scientist - Health and AI (Trusted Research Environment) Research Track Job Purpose To provide advanced analytical, epidemiological, and data science support for research projects using NHS data hosted within the Trusted Research Environment (TRE). The postholder will work closely with investigators from NHS Greater Glasgow and Clyde (NHSGGC), the University of Glasgow (UofG), and industry partners to translate research ideas into robust analytical plans, ensure data are appropriately specified and prepared for analysis, and deliver high quality, reproducible outputs. The role focuses on real world health data analysis - including study design, data wrangling, phenotype development, data integration, and statistical and machine learning methods - to accelerate project delivery, strengthen grant applications, and advance the overall research capability of the TRE. Main Duties and Responsibilities Support principal investigators by designing and implementing robust analytical and statistical workflows for complex clinical and population health datasets hosted in the TRE - including data wrangling, quality assessment, phenotype development, and exploratory analyses. Develop reproducible and transparent analytical pipelines, ensuring data provenance, version control, and adherence to ethical and governance standards. Working closely with clinicians, researchers, and data engineers across NHS and UofG to define project data requirements, optimise analytical design, and translate research questions into executable analyses. Lead on technical aspects of data integration, statistical and machine learning model development, validation, interpretability, and deployment within the secure TRE environment. Ensure all research activities comply with NHS data governance, ISO standards, and the TRE's ethical frameworks. Contribute to demonstration and exemplar projects (e.g., multimodal data integration, digital phenotyping, predictive analytics) that highlight the TRE's analytical and AI capabilities. Act as liaison between NHS Safe Haven, academic researchers, and University Services (e.g., Information Services, Centre for Data Science and AI) advising on data specifications, study design, and appropriate analytical methodologies. Support the training and mentoring of researchers and students in applied health data science, statistical methods, and TRE workflows. Perform administrative and governance related tasks relevant to TRE operations, including documentation, data access tracking, and project coordination. Keep up to date with current knowledge and recent advances in the field / discipline. Contribute to research outputs, grant applications, and dissemination activities that strengthen TRE capabilities and support collaborative funding bids. Participate and engage with national and cross institutional AI/TRE initiatives and networks as appropriate. Undertake any other reasonable duties as required by the Head of School / Director of Clinical TRE. Contribute to the enhancement of the University's international profile in line with the University Strategy. Knowledge, Qualifications, Skills and Experience Knowledge / Qualifications Essential A1 Scottish Credit and Qualification Framework level 12 (PhD) in a relevant discipline such as Epidemiology, Biostatistics, Health Data Science, or Health Informatics. A2 Strong knowledge of epidemiological and biostatistical principles applied to healthcare data, with experience integrating these with data science or AI/ML methods. A3 Demonstrable understanding of data governance and regulatory requirements for clinical data, including anonymisation, secure data handling protocols and workflows underpinning Trusted Research Environments (TREs). A4 Understanding of study design, phenotype development, and data quality assessment in real world healthcare research. Desirable B1 Additional formal training or certification in Epidemiology, Biostatistics, Health Informatics, or Applied AI in Healthcare. B2 Knowledge of data standards and interoperability frameworks (e.g., OMOP, FHIR, SNOMED CT, ICD 10) relevant to real world data integration. B3 Understanding of computable phenotypes, data harmonisation, or ontology development for clinical research. B4 Awareness of federated analytics, privacy preserving computation, or distributed learning within Trusted Research Environments. Skills Essential C1 Proficiency in R and/or Python, with strong skills in health data wrangling, cleaning, integration, and visualisation; experience with analytical and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn). C2 Ability to manipulate, analyse, and interpret large or complex healthcare datasets within secure computing environments, ensuring reproducibility and integrity. C3 Excellent communication and interpersonal skills to work across interdisciplinary teams in both academic and clinical environments. C4 Proven ability to explain analytical findings and complex technical concepts to non specialist stakeholders, including clinicians, policymakers, and industry partners. C5 Problem solving mindset with the ability to work independently and manage multiple priorities. Desirable D1 Experience in developing reproducible analysis pipelines using tools such as Git, Docker, or workflow managers. D2 Strong skills in data visualisation and dashboarding (e.g., R Shiny, Plotly, Dash, Power BI) for communicating insights to clinical and policy audiences. D3 Familiarity with advanced analytical techniques, such as causal inference, predictive modelling, or survival analysis in health data contexts. Experience Essential E1 Significant experience in applied health data analysis - including study design, data specification, data wrangling, statistical analysis, and (where appropriate) machine learning model development or evaluation. E2 Experience working with sensitive health or clinical datasets within secure research environments or safe havens. E3 Experience contributing to research publications, technical reports, or grant funded projects through provision of analytical and methodological expertise. E4 Experience working within data governance and ethical frameworks, ideally in healthcare or public sector research. E5 Proven commitment to supporting the career development of colleagues and to other forms of collegiality appropriate to the career stage. Desirable F1 Prior experience supporting Safe Haven/TRE governance committees, data access processes, or technical advisory groups. F2 Contribution to open source tools, data models, or methods for healthcare analytics or AI reproducibility. F3 Experience in preparing grant applications or preliminary data analyses that directly supported successful research funding. F4 Evidence of continuous professional development in health data science, AI ethics, or digital health innovation. Informal enquiries should be directed toProfessor Sandosh Padmanabhan, Previous applicants should not re apply for this position. Terms and Conditions Salary will be Grade 7, £41,064 - £46,049 per annum. This post is full time (35 hours p/w) and has funding for up to 3 years initially. Relocation assistance will be provided where appropriate. As a valued member of our team, you can expect: A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6 month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing date 8 January 2026 at 23:45
University of Glasgow
City, Glasgow
Job Purpose We have an exciting opportunity for an experienced Research Fellow to make a leading contribution to cancer research and related fields working with PIs within the School of Cancer Sciences (SCS) and across the CRUK Scotland Institute (CRUK SI). The successful candidate is afforded the opportunity to establish independence in their own area of cancer research, building a research group and applying for substantive, external fellowship funding during this Fellowship. They are expected to make a leading contribution to the formulation and submission of research publications and research proposals, in addition to participation in other collegiate activities in SCS (eg VOICE, AthenaSWAN, NERD). Main Duties and Responsibilities Play a leading role in the management and development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external collaborations both nationally and internationally. Play a leading role in the planning, design and conduct of research, individually or jointly, in accordance with the project deliverables and project/School/College/University research strategy. Establish and maintain an extensive research profile and reputation and that of the University of Glasgow/ School/ Research Group, sustaining a track record of independent and joint publications of international quality in high profile/quality refereed publications, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. Play a leading role in the presentation of research findings at high profile national and international conferences, seminars and meetings to enhance the research profile of the project/Institute/College/University. Lead the development, both independently and in collaboration with others (including stakeholders) of the identification of potential funding sources and lead in the development of proposals to secure funding from internal and external bodies to support future research of international quality. Take a leading role in developing and maintaining collaborations with colleagues across the project and in the broader Institute/College/University and wider community (e.g. academic and other collaborators/partners). Play a leading role in 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 School, including Budgets/Expenditure. Supervise Masters students and act as co-supervisor to PhD students as assigned by the Head of School/Director of Education and/or Senior Group Leader. Perform administrative tasks related to the activities of the project, research group and School, including budgets/expenditure. Keep up to date with current knowledge and recent advances in the field/discipline in order to provide advice and guidance to students and less experienced colleagues. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute. Contribute to the enhancement of the University's international profile in line with the University Strategy, World Changing Glasgow 2025. Knowledge, Qualifications, Skills and Experience Qualifications Essential A1 Scottish Credit and Qualifications Framework level 12 (PhD) or equivalent in a relevant subject area related to cancer research. Knowledge & Skills Essential C1 A comprehensive and up-to-date knowledge of current issues and future directions within cancer research and related fields C2 Specialist theoretical and practical knowledge in areas relevant to cancer research C3 Knowledge of project/field-specific technical models, equipment or techniques C4 An established track record of presentation and publication of research results in quality publications and/or at conferences. Experience Essential E1 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher E2 Substantial, relevant research experience in a related field E3 Experience of delivering quality outputs in a timely and efficient manner E4 An established national/international profile E5 Experience of making a leading contribution in academic activities E6 Experience of independence as illustrated by identification of project objectives from assessment of literature, design and analysis of research data and drafting of papers E7 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. E8 Proven commitment to supporting career development of colleagues and to other forms of collegiality appropriate to the career stage. Please contact or for informal enquiries. Terms and Conditions Salary will be Grade 8, £50,253 - £58,225 per annum. This post is full time, and has funding for up to 3 years with possibility of an extension. Benefits A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing date 18 January 2026 at 23:45
Job Purpose We have an exciting opportunity for an experienced Research Fellow to make a leading contribution to cancer research and related fields working with PIs within the School of Cancer Sciences (SCS) and across the CRUK Scotland Institute (CRUK SI). The successful candidate is afforded the opportunity to establish independence in their own area of cancer research, building a research group and applying for substantive, external fellowship funding during this Fellowship. They are expected to make a leading contribution to the formulation and submission of research publications and research proposals, in addition to participation in other collegiate activities in SCS (eg VOICE, AthenaSWAN, NERD). Main Duties and Responsibilities Play a leading role in the management and development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external collaborations both nationally and internationally. Play a leading role in the planning, design and conduct of research, individually or jointly, in accordance with the project deliverables and project/School/College/University research strategy. Establish and maintain an extensive research profile and reputation and that of the University of Glasgow/ School/ Research Group, sustaining a track record of independent and joint publications of international quality in high profile/quality refereed publications, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. Play a leading role in the presentation of research findings at high profile national and international conferences, seminars and meetings to enhance the research profile of the project/Institute/College/University. Lead the development, both independently and in collaboration with others (including stakeholders) of the identification of potential funding sources and lead in the development of proposals to secure funding from internal and external bodies to support future research of international quality. Take a leading role in developing and maintaining collaborations with colleagues across the project and in the broader Institute/College/University and wider community (e.g. academic and other collaborators/partners). Play a leading role in 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 School, including Budgets/Expenditure. Supervise Masters students and act as co-supervisor to PhD students as assigned by the Head of School/Director of Education and/or Senior Group Leader. Perform administrative tasks related to the activities of the project, research group and School, including budgets/expenditure. Keep up to date with current knowledge and recent advances in the field/discipline in order to provide advice and guidance to students and less experienced colleagues. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute. Contribute to the enhancement of the University's international profile in line with the University Strategy, World Changing Glasgow 2025. Knowledge, Qualifications, Skills and Experience Qualifications Essential A1 Scottish Credit and Qualifications Framework level 12 (PhD) or equivalent in a relevant subject area related to cancer research. Knowledge & Skills Essential C1 A comprehensive and up-to-date knowledge of current issues and future directions within cancer research and related fields C2 Specialist theoretical and practical knowledge in areas relevant to cancer research C3 Knowledge of project/field-specific technical models, equipment or techniques C4 An established track record of presentation and publication of research results in quality publications and/or at conferences. Experience Essential E1 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher E2 Substantial, relevant research experience in a related field E3 Experience of delivering quality outputs in a timely and efficient manner E4 An established national/international profile E5 Experience of making a leading contribution in academic activities E6 Experience of independence as illustrated by identification of project objectives from assessment of literature, design and analysis of research data and drafting of papers E7 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. E8 Proven commitment to supporting career development of colleagues and to other forms of collegiality appropriate to the career stage. Please contact or for informal enquiries. Terms and Conditions Salary will be Grade 8, £50,253 - £58,225 per annum. This post is full time, and has funding for up to 3 years with possibility of an extension. Benefits A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing date 18 January 2026 at 23:45
