Senior Research Fellow in Epidemiology and Data Science

UCL
City of London, England
12 months ago
Applications closed

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About us

The Unit of Lifelong Health and Ageing at UCL (LHA) is part of the Department of Population Science and Experimental Medicine (PSEM), in the UCL Institute of Cardiovascular Science. The UCL Institute of Cardiovascular Science is a world‑class centre of excellence in pioneering novel, integrative strategies in preventative and therapeutic cardiovascular medicine and multimorbidity, and forms part of the UCL Faculty of Population Health Sciences (FPHS). We have strong links with our social science colleagues in the Centre for Longitudinal Studies (CLS) at UCL. Both we and CLS are rich in whole‑of‑life data on health‑related variables captured on thousands of people and have extensive experience of and access to routine electronic health records and biobanks.


About the role

This new post represents an exciting opportunity to join the existing multimorbidity team of around 20 researchers. We explore risks, mechanisms, health and socioeconomic consequences and treatment for multimorbidity employing electronic health records, population cohorts and biobanks. Our work has been used by NHS England to inform policy. This post is funded by the UCLH Biomedical Research Centre. The focus of this post is on the relationship between multimorbidity and polypharmacy. We focus on major conditions that often co‑occur and have similar pathways, including cardiovascular disease, diabetes, dementia and renal disease. The role of adverse mental health, both as a pre‑existing condition and as an adverse effect of polypharmacy, on adherence and on health and socioeconomic outcomes, is often overlooked. You will explore clustering of these conditions, the impact of polypharmacy on health benefits and on adverse outcomes, the role of adherence, and how we can improve risk prediction, prescribing and adherence to these medications. This role provides an excellent opportunity for a researcher to develop their analytical skills and knowledge base in health. This post is for two years.


About you

You will have a PhD or equivalent significant experience in quantitative research methods that relate to public health, and experience in using population cohorts and/or electronic health records for research. You will have published your research and will have a track record of project completion. You will have a significant interest in understanding and addressing inequalities in health and health care. You will be able to work as part of a multidisciplinary team and take on teaching and mentoring duties as required. During this time, you will also be encouraged to develop ideas related to the core work to gain independent funding. Your application form should address all the person specification points and should clearly demonstrate how your skills and experience meet each of the criteria. It is important that the criteria are clearly numbered and that you provide a response to each one.


What we offer

  • 41 Days holiday (27 days annual leave, 8 bank holidays and 6 UCL closure days)
  • Additional 5 days' annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • Immigration loan
  • Relocation scheme for certain posts
  • On‑Site nursery
  • On‑site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.


Our commitment to Equality, Diversity and Inclusion

As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.


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