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Wolfson Institute of Population Health

SPCR Primary Care Clinicians Career Progression Fellowship

These awards cover a 12 month fellowship period. It is anticipated that these awards are taken as 0.5 FTE to allow clinical work to continue. 

Training opportunities will be provided to successful candidates including

  • Online masterclasses
  • Two annual two day training events
  • Networking opportunities with early career and senior researchers in Primary Care.

QMUL Support

At QMUL we have support in place to help early-career researchers in preparing their Fellowship applications. This includes your PI (if not the applicant) and co-applicants and academic reviewers can assess you first draft of the application and provide feedback. Some previously successfully fellowship staff are willing to review your application. QMUL can support applicants in thinking about how to embed patient and public involvement (PPI) in their application.

Get in touch with Juliet Henderson for further help. 



Applications for part-time awards are invited from primary care clinicians with a strong academic record and a commitment to a career in academic primary care. The 1-year fellowship provides clinicians with the opportunity to further develop their academic track record in preparation to apply for and conduct a PhD. The fellowship offers scope for career progression by providing the opportunity to develop a formal doctoral training fellowship application whilst developing their research portfolio. 

All primary care clinicians are welcome to apply such as practice nurses, health visitors, dentists, primary care pharmacists, physiotherapists, optometrists working in primary care and general practitioners (this list is not exhaustive). Academic Clinical Fellows and In-Practice Fellows can also apply. Applicants holding one of these awards must clearly show progress towards a Doctoral Training Fellowship application in their application.

Applicants do not have to be employed by a SPCR research organisation to apply.

All applicants must ensure their proposed research project is compatible with NIHR remit.


The salary during the fellowship will be based on the point and scale when fellowship commences; any immediate promotion to a higher grade as a result of securing a fellowship will not be funded. The award includes a contribution towards research costs and covers an agreed training and development plan (capped at £5k contribution) but it is not a research grant.

This competition is now closed for 2023 as the internal QMUL deadline has passed. 

SPCR Primary Care Clinicians Career Progression Fellowship - Wolfson Institute of Population Health

Research Areas

Proposed projects should be relevant to the aims of NIHR SPCR and compliant with overall NIHR remit for personal awards.

We welcome Expression of Interest within the following research areas: 

  • Health data science, geospatial linkage, maternal health and child health/obesity immunisation. Contact: Prof Trevor Sheldon 
  • Cardiovascular disease and inequalities in health service provision and the Discovery integrated data programme across London. Contact: Prof Chris Griffiths or Prof John Robson 
  • Oral health and Primary Dental Care access and organisation. Contact: Professor Manu Raj Mathur 
  • Economic Evaluation of healthcare interventions and pathways, decision analytic modelling, efficiency and equity Contact: Prof Borislava Mihaylova
  • Health Related Quality of Life Research, Evaluation of the implementation of health policy and medical intervention, Incentive design for healthcare providers. Contact: Dr Yan Feng  
  • The development of complex interventions and digital health for the delivery of healthcare, self-management and prevention of long-term conditions, health inequalities and issues of ‘digital exclusion’, patient and public involvement in medical research and education Contact: Dr Jamie Ross
  • Dementia prevention, diagnosis and health inequalities Contact: Dr Charles Marshall

  • Health and inequalities relevant to obesity, diabetes, cancer, and cardiovascular disease across the life course. Machine learning and AI-based algorithm for disease diagnosis and prediction of atrial fibrillation and heart failure Contact: Professor Jianhua Wu 
  • Ethnic inequalities in cardiometabolic disease, pharmacoepidemiology, health data science using large scale real-world observational and genetic data. Contact: Professor Rohini Mathur

  • Health equity/health inequality, HIV and sexual health Contact: Dr Sara Paparini



Please click through to SPCR webpages for 2023 forms and these will be relatively similar in 2024 the application form and guidance documents


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