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We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics.


As a Postdoctoral Data Scientist, you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse real world health data assets, analyse data following pre-specified analysis plans and/or approved protocols and prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will carry out collaborative projects with colleagues in partner institutions, and research groups, present papers at conferences or public meetings, lead and support the drafting of scientific manuscripts for dissemination as well as manage your own academic research and administrative activities.


You will hold a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar field. Demonstrable advanced skills in programming in Python, SQL, or similar languages, advanced skills and expertise in R programming and to communicate results effectively in writing and verbally with colleagues in any discipline are essential. Experience designing and conducting cohort, case-control, and similar studies, experience in prediction modelling and experience in common data models are desirable.


This is a full-time post, fixed-term contract for 21 months.


A lower grade offer may be made (Grade 6: £32,332- £33,205 p.a.) with commensurate reduction in responsibilities (and a change in job title to Research Assistant in Health Data Sciences) if a suitable candidate cannot be found to fill the Grade 7 position.


The closing date for applications is 12 noon on 15/05/2024. You will be required to upload a supporting statement as part of your online application. Please quote 172572 on all correspondence.

"""^^ . "occupies" . _:N5d87e186e268490fbcfaeebfbf08d554 "+44-1865-270708" . . . """We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. As a Postdoctoral Data Scientist, you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse real world health data assets, analyse data following pre-specified analysis plans and/or approved protocols and prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will carry out collaborative projects with colleagues in partner institutions, and research groups, present papers at conferences or public meetings, lead and support the drafting of scientific manuscripts for dissemination as well as manage your own academic research and administrative activities. You will hold a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar field. Demonstrable advanced skills in programming in Python, SQL, or similar languages, advanced skills and expertise in R programming and to communicate results effectively in writing and verbally with colleagues in any discipline are essential. Experience designing and conducting cohort, case- control, and similar studies, experience in prediction modelling and experience in common data models are desirable. This is a full-time post, fixed-term contract for 21 months. A lower grade offer may be made (Grade 6: £32,332- £33,205 p.a.) with commensurate reduction in responsibilities (and a change in job title to Research Assistant in Health Data Sciences) if a suitable candidate cannot be found to fill the Grade 7 position. The closing date for applications is 12 noon on 15/05/2024. You will be required to upload a supporting statement as part of your online application. Please quote 172572 on all correspondence. """ . . 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"Fax"@en . "Is Part Of"@en . . . _:Nb18847444cc24f699f3a7936fa30137f . "HF" . . "address"@en . "Agent" . "Description of Postdoctoral Health Data Scientist" . . . "subOrganization of"@en . . "2024-05-15T12:00:00+01:00"^^ . . "logo" . "Title"@en . . "comment" . . "false"^^ . "extended address"@en . _:Nb18847444cc24f699f3a7936fa30137f "+44-1865-270000" . "homepage" . . . "sotto-Organization di"@it . . . "Medical Sciences Division" . "department" . . "Nuffield Orthopaedic Centre - Main Building" . . "ha sede"@it . . . "telephone"@en . . "sous-Organization de"@fr . "Nuffield Orthopaedic Centre" . . . . . . . . . "OxPoints"@en . . "Botnar Research Centre" . . . . """Job Description _________________________________________________________________________ Summary Job title Postdoctoral Health Data Scientist Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 7: £36,024- £38,205 per annum Hours Full time Contract type Fixed-term for 21 months Reporting to Associate Professor Sara Khalid Vacancy reference 172572 Additional information A lower grade offer may be made (Grade 6: £32,332- £38,205 p.a.) with commensurate reduction in responsibilities (and a change in job title to Research Assistant) if a suitable candidate cannot be found to fill the Grade 7 position. The role Project details Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. We work closely with clinicians, engineers, epidemiologists, conservationists, data scientists, policy-makers, and public and patient groups in the UK and from around the world to co-create models for equitable and ethical solutions for planetary health problems in everyday (“routine”) settings. We study benefits and risks of health technologies particularly in special subgroups of the population who may have rare conditions or may otherwise be under-represented in clinical trials, those disproportionately affected by health inequities, and those most climate vulnerable. Additionally, we are also interested in fair and safe use of AI technology e.g. large language models and foundation models for under-resourced settings around the world. You can learn more about our research and teaching at https://www.ndorms.ox.ac.uk/research/researchgroups/planetary-health-informatics The clinical application domain ranges from communicable and chronic conditions through to multi-morbidity. There are ongoing studies in our current work to support each of these areas of research through local, national and international collaborations such as with Health Data Research UK, British Heart Foundation, Bill & Melinda Gates Foundation, Innovative Medicines Initiative, pharma industry and others. These and similar studies will become part of your research portfolio. Overview of the role As a Postdoctoral Health Data Scientist, you will have responsibility for: 1. Supporting research projects from inception to reporting and dissemination/publication. 2. Analysis and interpretation of routinely collected datasets both nationally and internationally as part of ongoing and future research projects. 3. Supervision of or providing support to student/s within the research group. 4. Contributing to writing research grants within the group’s remit to obtain funding from both competitive and non-competitive (i.e. industry or similar) sources. 5. Represent the group in international collaboration/s and related meeting/s. Responsibilities 1. 2. 3. 4. 5. 6. 7. 8. To develop analysis plans, protocols, ethical (and similar panel) submissions, standard operating procedures, governance and regulatory submissions as required for ongoing and future studies. To analyse data following pre-specified analysis plan/s and/or approved protocols. To generate and analyse real world health data assets. To contribute to the programming of R/Python packages for the analysis of international network studies. To report research findings in the form of conference abstracts at national and international conferences. To lead and/or support the drafting of scientific manuscripts, reports to funders and other materials for other audiences based on the results from research studies. Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines Adapt existing and develop new research methodologies and materials 169888 JD.docx 2 9. 10. 11. 12. 13. 14. 15. Prepare working theories and analyse qualitative and/or quantitative data from a variety of sources, reviewing and refining theories as appropriate Contribute ideas for new research projects Present papers at conferences or public meetings Act as a source of information and advice to other members of the group on methodologies or procedures Represent the research group at external meetings/seminars, either with other members of the group or alone Carry out collaborative projects with colleagues in partner institutions, and research groups To be involved in teaching and supervision of students. The job description is not intended to be rigid or inflexible and may include other duties and responsibilities commensurate with the grade of the post, as may be determined and directed by the line manager. You will be expected to work flexibly and respond positively to changing needs. Selection criteria Essential selection criteria 1. Have a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, clinical/environmental epidemiology, or a similar field. 2. Experience working in academia 3. Demonstrable advanced skills and expertise in R programming 4. Demonstrable advanced skills in programming in Python, SQL, or similar languages 5. Ability to work within multi-disciplinary teams and independently 6. Self-motivated with good organization and time management skills 7. Ability to prioritize workload and write reports to a tight deadline 8. Ability to communicate results effectively in writing and verbally with colleagues in any discipline 9. Flexibility to learn new skills 10. Attention to detail Desirable selection criteria 1. Good track record of peer reviewed scientific publications 2. Experience of postgraduate teaching in the academic sector 3. Experience presenting at international conferences 4. Experience designing and conducting cohort, case-control, and similar studies 5. Experience in the analysis/es of routinely collected (aka ‘real world’) health data 6. Experience in prediction modelling 7. Experience in medical large language models and foundation models 8. Experience in propensity score/s, instrumental variable/s, and/or other methods to adjust for confounding in observational studies 9. Experience in common data models 169888 JD.docx 3 10. Ability to communicate in additional languages (in addition to English) 11. Willingness to travel both within the United Kingdom and abroad to conduct research and attend conferences and research meetings 12. Experience of writing reports for research sponsors/funders, and manuscripts for peer reviewed journal submission Please note that the appointment of the successful candidate will be subject to standard compulsory preemployment screening, such as right to work checks. Please click here to read the candidate notes on the University’s pre-employment screening procedures. Pre-employment screening Standard checks If you are offered the post, the offer will be subject to standard pre-employment checks. You will be asked to provide: proof of your right-to-work in the UK; proof of your identity; and (if we haven’t done so already) we will contact the referees you have nominated. You will also be asked to complete a health declaration so that you can tell us about any health conditions or disabilities for which you may need us to make appropriate adjustments. Please read the candidate notes on the University’s pre-employment screening procedures at: https://www.jobs.ox.ac.uk/pre-employment-checks 169888 JD.docx 4 About the University of Oxford Welcome to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research and enable innovation through a broad range of social, policy and economic impacts. We believe our strengths lie both in empowering individuals and teams to address fundamental questions of global significance, while providing all our staff with a welcoming and inclusive workplace that enables everyone to develop and do their best work. Recognising that diversity is our strength, vital for innovation and creativity, we aspire to build a truly diverse community which values and respects every individual’s unique contribution. While we have long traditions of scholarship, we are also forward-looking, creative and cutting-edge. Oxford is one of Europe's most entrepreneurial universities and we rank first in the UK for university spin-outs, and in recent years we have spun out 15-20 new companies every year. We are also recognised as leaders in support for social enterprise. Join us and you will find a unique, democratic and international community, a great range of staff benefits and access to a vibrant array of cultural activities in the beautiful city of Oxford. For more information, please visit www.ox.ac.uk/about/organisation. Medical Sciences Division The Medical Sciences Division is an internationally recognised centre of excellence for biomedical and clinical research and teaching. We are the largest academic division in the University of Oxford. World-leading programmes, housed in state-of-the-art facilities, cover the full range of scientific endeavour from the molecule to the population. With our NHS partners we also foster the highest possible standards in patient care. For more information please visit: www.medsci.ox.ac.uk Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. Our mission is to discover the causes of musculoskeletal and inflammatory conditions to deliver excellent and innovative care that improves people’s quality of life. Our highly skilled teams have expertise in a broad range of areas, including orthopaedic surgery, inflammation, immunology, rheumatology, medical statistics, epidemiology, and clinical trials. We currently have 480 staff, approximately 120 post-graduate students and have a grant portfolio worth over £180 million. 169888 JD.docx 5 The Botnar Research Centre enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Centre provides world-class facilities for scientists in the field of musculoskeletal research. It takes a multidisciplinary approach, encompassing orthopaedic, rehabilitation and rheumatology clinical scientists, bone oncologists, laboratory scientists, epidemiologists, engineers and statisticians. The Botnar also hosts the Oxford Clinical Trials Research Unit (OCTRU) and the Centre of Statistics in Medicine (CSM), providing excellent statistical support to all aspects of clinical research. The Botnar opened in 2002, with a large annex completed in 2013. The Botnar is now home to around 300 staff and postgraduate students enjoying the international and friendly atmosphere of this workplace and benefits from the vast knowledge of leading experts in the field of musculoskeletal research. To accommodate its rapid growth, the Centre has opened another wing in early 2022. The new space provides additional 1000m2 of office and 1000m2 of laboratory space. The laboratory space includes a GMP clean room facility suitable for the manufacturing of biomaterials for human implantation. Sharing the site of the Nuffield Orthopaedic Centre, the largest specialist academic musculoskeletal hospital in the UK, puts the Botnar in a unique position to foster the collaboration between basic scientists and clinicians, which is essential to success in medical research. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and earlystage clinical research, to develop transformative new therapies for chronic inflammatory and musculoskeletal conditions. Broadly focused on the thematic areas of immunity and microbiome, inflammation biology and tissue remodelling and repair, the Institute’s research is relevant for a range of common diseases such as arthritis, inflammatory bowel disease, fibrosis and cancer. The Institute has capacity for up to 260 staff and students who work collaboratively across 25 research groups. This enables a multidisciplinary approach of molecular and cellular biology, combined with analysis of disease models, patient tissue samples and longitudinal clinical data. Collectively, these studies seek to uncover the biological processes that maintain tissue health and how these pathways break down in disease. Research at the Institute is supported by a suite of core technology platforms, as well as through strategic partnerships with other basic and clinical research centres in Oxford, across the UK and internationally. These state-of-the-art technologies include the Oxford-Zeiss Centre for Excellence and other advanced microscopy and imaging facilities, mass and flow cytometry, as well as capabilities for microbial genomics and functional microbiome studies made available through the Oxford Centre for Microbiome Studies. Complementing a strong programme of lab-based research, the Institute has established a core of expertise and technologies in data science including single cell genomics, statistical genetics, computational biology, and research informatics. A recent extension to the Institute building with a new third floor creates additional space purposely designed for computationally intensive research. A true trendsetter in innovative and transformational research, the Kennedy also boasts a relaxed and friendly atmosphere, revolving around its bright and airy atrium that provides a space for colleagues to meet over coffee and tea to talk about their research and beyond throughout the day. 169888 JD.docx 6 For more information please visit: http://www.kennedy.ox.ac.uk Centre for Statistics in Medicine The Centre for Statistics in Medicine (CSM) (Director: Professor Gary Collins) in Oxford is committed to providing collaborative statistical support for the design, analysis and reporting of clinical research, carries out a methodological research programme and runs training courses. One of several teams within CSM, the OCTRU Statistics Team collaborates in clinical trials and other research within the University, with local and regional NHS trusts and with academic and charitable organisations throughout the UK. Our current portfolio includes 50 local, national and international trials. The CSM also has 5 statisticians working primarily on a programme of methodological research relating to studies of prognosis; a team of Biomedical Research Centre (BRC) funded statisticians; hosts the EQUATOR initiative; and carries out a programme of work aiming at improving the reporting of health research. Members of all groups within the CSM participate in occasional training activities. Further details of the activities of the wider CSM can be found here: https://www.csm.ox.ac.uk/ 169888 JD.docx 7 Athena Swan The Athena SWAN Awards specifically recognise success in developing employment practices to further and support the careers of women in science, technology, engineering, maths and medicine (STEMM) departments in academia. In May 2015 the charter was expanded to recognise work undertaken in arts, humanities, social sciences, business and law (AHSSBL), and in professional and support roles. Within NDORMS, we feel that we have an established culture of equality but are using the process to spur on-going improvement that benefits everyone involved in the Department. Our on-going progress was rewarded in May 2014 with an Athena Swan Bronze Award and in October 2015 with a Silver Award. Our development in this area has resulted in a number of commitments to our staff, central to which are: ➢ establishing an open, supportive and family-friendly research environment ➢ supporting career progression through teaching programmes, personal development reviews and mentoring ➢ proactive communication of support policies such as flexible working, provision of leave, promotion and career support schemes NDORMS aims to actively promote the implementation of the University’s family-friendly policies to help foster a family friendly working environment, including provision of family leave (such as policies for maternity, paternity, parental, carers and adoption leave), flexible/part-time working and scheduling inclusive meetings. The University’s childcare services support staff with a Childcare Voucher Scheme to help staff save tax and national insurance on childcare costs, offer information on nursery providers and a nursery fee Salary Sacrifice Scheme, work in partnership with playscheme providers to help support families during school holidays and signpost staff to parenting, local authority and other organisations that help support families and parents. The Department is also committed to ensuring that staff undertaking part-time or flexible working receive the same access to benefits and entitlements as full-time staff, including the same opportunities for training and promotion, a pro-rata entitlement to leave including bank holidays and careful consideration of requests to work part-time (particularly for those by staff returning from maternity leave). For more information please visit: http://www.admin.ox.ac.uk/personnel/staffinfo/benefits/family/ and http://www.admin.ox.ac.uk/personnel/during/flexible/ We are also actively working to uphold the University’s aim of providing an inclusive environment and equal career opportunities by promoting equality, valuing diversity and maintaining a working, learning and social environment in which the rights and dignity of all staff are respected. Separate University policies are also in place to ensure race, disability and gender equality. For more information, please visit: http://www.admin.ox.ac.uk/eop/ 169888 JD.docx 8 How to apply Applications are made through our online recruitment portal. Information about how to apply is available on our Jobs website https://www.jobs.ox.ac.uk/how-to-apply. Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. As part of your application you will be asked to provide details of two referees and indicate whether we can contact them now. You will be asked to upload a CV and a supporting statement. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This may include experience gained in employment, education, or during career breaks (such as time out to care for dependants) Please upload all documents as PDF files with your name and the document type in the filename. All applications must be received by midday UK time on the closing date stated in the online advertisement. Information for priority candidates A priority candidate is a University employee who is seeking redeployment because they have been advised that they are at risk of redundancy, or on grounds of ill-health/disability. Priority candidates are issued with a redeployment letter by their employing department(s). If you are a priority candidate, please ensure that you attach your redeployment letter to your application (or email it to the contact address on the advert if the application form used for the vacancy does not allow attachments). If you need help Application FAQs, including technical troubleshooting advice is available at: https://staff.web.ox.ac.uk/recruitment-support-faqs Non-technical questions about this job should be addressed to the recruiting department directly HR@ndroms.ox.ac.uk To return to the online application at any stage, please go to: www.recruit.ox.ac.uk. Please note that you will receive an automated email from our online recruitment portal to confirm receipt of your application. Please check your spam/junk mail if you do not receive this email. 169888 JD.docx 9 Important information for candidates Data Privacy Please note that any personal data submitted to the University as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation. For further information, please see the University’s Privacy Notice for Job Applicants at: https://compliance.admin.ox.ac.uk/job-applicant-privacypolicy. The University’s Policy on Data Protection is available at: https://compliance.admin.ox.ac.uk/dataprotection-policy. The University’s policy on retirement The University operates an Employer Justified Retirement Age (EJRA) for very senior research posts at grade RSIV/D35 and clinical equivalents E62 and E82, which with effect from 1 October 2023 will be 30 September before the 70th birthday. The justification for this is explained at: https://hr.admin.ox.ac.uk/the-ejra. For existing employees on these grades, any employment beyond the retirement age is subject to approval through the procedures: https://hr.admin.ox.ac.uk/the-ejra. There is no normal or fixed age at which staff in posts at other grades have to retire. Staff at these grades may elect to retire in accordance with the rules of the applicable pension scheme, as may be amended from time to time. Equality of opportunity Entry into employment with the University and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each particular post and the relevant salary structure. In all cases, ability to perform the job will be the primary consideration. No applicant or member of staff shall be discriminated against because of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. 169888 JD.docx 10 Benefits of working at the University Employee benefits University employees enjoy 38 days’ paid holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits University Club and sports facilities Membership of the University Club is free for all University staff. The University Club offers social, sporting, and hospitality facilities. Staff can also use the University Sports Centre on Iffley Road at discounted rates, including a fitness centre, powerlifting room, and swimming pool. See www.club.ox.ac.uk and https://www.sport.ox.ac.uk/. Information for staff new to Oxford If you are relocating to Oxfordshire from overseas or elsewhere in the UK, the University's Welcome Service website includes practical information about settling in the area, including advice on relocation, accommodation, and local schools. See https://welcome.ox.ac.uk/ There is also a visa loan scheme to cover the costs of UK visa applications for staff and their dependents. See https://staffimmigration.admin.ox.ac.uk/visa-loan-scheme Family-friendly benefits With one of the most generous family leave schemes in the Higher Education sector, and a range of flexible working options, Oxford aims to be a family-friendly employer. We also subscribe to the Work+Family Space, a service that provides practical advice and support for employees who have caring responsibilities. The service offers a free telephone advice line, and the ability to book emergency back-up care for children, adult dependents and elderly relatives. See https://hr.admin.ox.ac.uk/my-family-care Childcare The University has excellent childcare services, including five University nurseries as well as University-supported places at many other private nurseries. For full details, including how to apply and the costs, see https://childcare.admin.ox.ac.uk/ Disabled staff We are committed to supporting members of staff with disabilities or long-term health conditions. For further details, including information about how to make contact, in confidence, with the University’s Staff Disability Advisor, see https://edu.admin.ox.ac.uk/disability-support Staff networks The University has a number of staff networks including the Oxford Research Staff Society, BME staff network, LGBT+ staff network and a disabled staff network. You can find more information at https://edu.admin.ox.ac.uk/networks The University of Oxford Newcomers' Club The University of Oxford Newcomers' Club is an organisation run by volunteers that aims to assist the partners of new staff settle into Oxford, and provides them with an opportunity to meet people and make connections in the local area. See www.newcomers.ox.ac.uk. 169888 JD.docx 11 """^^ . . "NTriples description of Postdoctoral Health Data Scientist" . . _:N3d52999de9224ba892e2ec1038ef571c . "Document" . . . . . . . . "label" . . . . . _:Nafdb4cc777784417b98b11461ae8d9fb . "HF"^^ . "depiction" . . . . . . "2024-04-24T09:00:00+01:00"^^ . . "postal code"@en . "2024-05-15T12:00:00+01:00"^^ . "type" . "valid through (0..1)"@en . _:Nafdb4cc777784417b98b11461ae8d9fb . . . . "street address"@en . . . . . . . "in dataset" . . _:N3d52999de9224ba892e2ec1038ef571c "OX1 2JD" . . _:N520e58b1df4e4407b0ac2f08307680a5 . . . . . . "Turtle description of Postdoctoral Health Data Scientist" . 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