Grade 7: Salary in the range of £39,424-£42,794 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.

 

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

 

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. The Botnar Institute for Musculoskeletal Sciences enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Institute provides world-class facilities for scientists in the field of musculoskeletal research.

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•             An excellent contributory pension scheme 

•             38 days annual leave 

•             A comprehensive range of childcare services 

•             Family leave schemes 

•             Cycle loan scheme 

•             Discounted bus travel and Season Ticket travel loans 

•             Membership to a variety of social and sports clubs 

•             This role also offers the opportunity for hybrid working 

 

 

The role will contribute to Preventing Falls and Frailty Workstream within the Age Well Theme of the NIHR Thames Valley ARC. In the first instance, this work will focus on the provision of community based falls prevention programmes, how to promote fair and equitable access to reduce health inequalities and ensure high quality provision to optimise outcomes.

 

The postholder will play a key role in delivering high-quality applied health research focused on supporting healthy ageing, reducing health inequalities, and improving outcomes for older adults, particularly those living with multiple long-term conditions (MLTCs) and frailty. They will also work closely with Age Well Theme Leads Professor James Sheppard and Dr Megan Kirk Chang. They will collaborate across the Age Well Theme and the wider ARC, as well as with clinical, policy, voluntary sector, and public partners.

 

 

You must hold, or be close to completion of, a PhD/DPhil in applied health research or equivalent experience and have experience engaging with diverse patients and participants from underserved communities. You will possess sufficient specialist knowledge in the discipline to work within established research programmes. This includes expertise in qualitative and/or mixed methods research, ideally in a primary healthcare and community setting.

 

 

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.
 

Applications for this vacancy should be made online and must include a CV and a supporting statement explaining how you meet the selection criteria, using examples of your skills and experience.
 

Interviews will take place during the week starting the 8th of June 2026 and will be online.

 

Please quote reference 186165 in all correspondence.

 

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

 

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.

 

The Botnar Institute for Musculoskeletal Sciences 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.

 

The NDORMS Health Data Sciences research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) and the safety of licensed drugs and medical devices for the treatment of different conditions in 'real world' (actual practice) settings.  

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•    An excellent contributory pension scheme 

•    38 days annual leave 

•    A comprehensive range of childcare services 

•    Family leave schemes 

•    Cycle loan scheme 

•    Discounted bus travel and Season Ticket travel loans 

•    Membership to a variety of social and sports clubs 

 

 

We have an exciting and unique opportunity for a postdoctoral research assistant to join our Health Data Sciences group investigating the performance of analytical and design methods to minimize bias in pharmaco-epidemiology, comparative safety and effectiveness, and causal inference research. In this role you will analyse OMOP-mapped real world health data assets following pre-specified protocols and/or using existing analytical pipelines and adapt existing ones to develop new research methodologies for causal inference and real world evidence generation. You will carry out collaborative projects with colleagues in partner institutions, research groups, and key stakeholders as well as collaborate in the preparation of research publications, and book chapters. You will also prepare working theories and analyse qualitative and/or quantitative data from a variety of sources, reviewing and refining theories as appropriate. 

 

 

You will hold a PhD/DPhil (or near completion) in medical statistics, epidemiology, pharmaco-epidemiology, data science or a related field together with experience in conducting studies using routinely collected health data (RWD). You will have the ability to manage own academic research and associated activities and previous experience of contributing to publications and/or conference presentations. You will have demonstrable expertise in the use of R for statistical analysis as well as the flexibility to learn new skills. Experience programming R packages or related analytical code for OMOP-mapped real world data and of designing, conducting and analysing cohort, case-control, and similar studies using routinely collected health data are desirable.

 

 

You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please quote 186492 in all correspondence. 

 

The closing date for applications is 12pm 10 June 2026.

 

Interviews will take place during week commencing 22 June 2026 and will be hybrid.

Grade 7: Salary in the range of £39,424-£43,984 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year. This is a full time, fixed term position for 2 years.

 

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

 

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. 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.

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•               An excellent contributory pension scheme 

•               38 days annual leave 

•               A comprehensive range of childcare services 

•               Family leave schemes 

•               Cycle loan scheme 

•               Discounted bus travel and Season Ticket travel loans 

•               Membership to a variety of social and sports clubs 

•               This role also offers the opportunity for hybrid working 

 

 

Based within the Oxford Translational Myeloma Centre (OTMC) at the Botnar Institute for Musculoskeletal Sciences, this post will join an interdisciplinary team of clinical, experimental, and computational researchers working in translational multiple myeloma research. The postholder will contribute to projects aimed at understanding the biological mechanisms underlying disease progression and treatment response within the OTMC’s clinical-translational research infrastructure. The role will focus on the computational analysis and interpretation of multi-omics and clinical datasets to support research into multiple myeloma and related conditions. The postholder will apply and further develop bioinformatic and machine learning approaches to enable integrative analysis and biomarker discovery.

 

 

You must hold, or be close to completion of, a PhD/DPhil in a discipline of direct relevant to computational biology, bioinformatics, or a related field. You will have experience in multi-omics and AI/ML based data analysis and demonstrable understanding of biology relevant to cancer research. Additionally, you will have experience contributing to the development of scientific techniques in systems biology and/or computational genomics; familiarity with experimental workflows is desirable.

 

 

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.
 

Applications for this vacancy should be made online and must include a CV and a supporting statement explaining how you meet the selection criteria, using examples of your skills and experience.

 

The closing date for applications is Friday, 29 May 2026.

 

Interviews will take place during week commencing 22 June 2026 and will be face to face

 

Please quote reference 186139 in all correspondence.

 

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

 

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.

 

The Botnar Institute for Musculoskeletal Sciences 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.

 

Led by Professor Laura Coates, the Experimental Medicine and Rheumatology (EMR) trials group is the newest group to work in collaboration with OCTRU. EMR manages a rapidly expanding portfolio of trials of varying sizes, spanning rheumatology and musculoskeletal conditions, and experimental medicine. The team is currently composed of Trial Managers, Trial Coordinators and administrative support staff under EMR’s Operational Lead, Dr Anne Francis.

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•    An excellent contributory pension scheme 

•    38 days annual leave 

•    A comprehensive range of childcare services 

•    Family leave schemes 

•    Cycle loan scheme 

•    Discounted bus travel and Season Ticket travel loans 

•    Membership to a variety of social and sports clubs 

 

 

We have an exciting and unique opportunity for a Senior Data Manager to lead data management activities and provide data management expertise to the clinical trials managed by the Experimental Medicine and Rheumatology (EMR) trials group. In this role you will oversee the data related aspects of all EMR trials throughout the whole trial lifecycle ensuring they meet the required standards in a compliant and efficient manner. You will work as part of multi-disciplinary teams with the Chief Investigators, Trial Management Team, Database Programmers, Statisticians and others as required to design case report forms (CRFs) and associated data matrices to capture the trial data, and to design, build (where required), test and maintain trial specific clinical databases, and other databases or systems required. You will use you expertise to lead on the development of data related documents such data management plans, contribute to trial protocols, and provide training to the group. 

 

 

You will hold a Bachelor’s degree in IT or life sciences (or hold equivalent experience) together with proven experience in clinical research data management including the use of electronic data capture systems. You will have a working knowledge of good data management principles and Good Clinical Practice (GCP) requirements in the UK as well as proven experience in the design, use, maintenance and interrogation of relational databases. Additionally you will have a working knowledge of the clinical trial lifecycle with experience of UK clinical research structures, regulatory, ethical, and governance requirements and systems, including of the data protection regulations and the need for confidentiality. 

 

 

You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please quote 186389 in all correspondence. 

 

The closing date for applications is 12pm 22nd May 2026.

 

Interviews will take place during week commencing 8th June 2026 and will be ONLINE/IN PERSON.