Research Fellow

About us

We have an exciting opportunity for a Research Fellow to join a dynamic and collaborative team, committed to improving the lives of people living with, and alongside, rare forms of dementia as part of an NIHR-funded study called Rare dementia (RD) Talk.

We are located in UCL’s Clinical, Educational, and Health Psychology department. The department has a strong track record in training early-career researchers, and this will be an excellent opportunity for the right applicant to develop in their research career.

About the role

The postholder will focus on supporting the RD-Talk project, and associated work and will work mainly on work using healthcare records data: Including:

1. Using MODIFY (England-wide NHS psychological therapy data linked to other healthcare records) dataset to test inequities in psychological therapy short (anxiety and depression change) and long (mortality, secondary care use) term outcomes and access inequities faced by adults with comorbid health problems including but not limited to rare dementias;
2. Doing/supporting relevant analyses in other healthcare records datasets available to the team (e.g., GP records – CPRD, HES data etc.)
3. Doing/supporting relevant work in the unique UCL 1946 (including insight 46), 1970, and 1958 birth cohort datasets
4. Support other workstreams (RCTs of blended online interventions.
5. Support dissemination activities across the grant in liaison with clinicians and co-investigators

An acceptable DBS check is required to carry out this role

This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Please visit https://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-staff for more information

The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please visit www.ucl.ac.uk/ways-of-working to find out more.

About you

We are looking for a motivated and enthusiastic individual with a PhD or equivalent extensive experience (e.g. substantial time spent working in industry) in epidemiology, statistics, data science or leading analyses on large healthcare record datasets (e.g., including but not limited to CPRD data, HES data, MHSDS data MODiFY data).

The right candidate will have applied health research experience using a variety of quantitative methods (e.g. (but not limited to) structural equation modelling, machine learning, growth mixture modelling).

Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R, Python) are required for this role.

See the Job Description and Person Specification for more information.

What we offer

As well as the exciting opportunities this role presents, we also offer great benefits. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-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; and for our Grade 9 and 10 roles, women.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/

Customer advert reference: B02-09791

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