Research Fellow in Mental Health Epidemiology/Data Science

TN United Kingdom; London; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading research institution in London is seeking a Research Fellow in Mental Health Epidemiology/Data Science. The role involves working on a national project to explore the interface between physical and mental health, utilizing large datasets. The successful candidate will collaborate with experts and have opportunities for career development.

Benefits

41 days holiday

Defined benefit pension scheme

Cycle to work scheme

On-site gym

Enhanced maternity, paternity, and adoption pay

Employee assistance programme

Qualifications

• PhD or near completion in relevant field.
• Experience with large datasets and statistical software.

Responsibilities

• Work on national project with mental health data hub.
• Analyze relationships between health inequalities and physical health.

Skills

Data Science

Health Informatics

Epidemiology

Statistical Software

Education

PhD in Epidemiology

PhD in Health Informatics

PhD in Data Science

Tools

R

STATA

Python

Julia

Job description

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Research Fellow in Mental Health Epidemiology/Data Science, London

Client:

Location:

London, United Kingdom

Job Category:

-

EU work permit required:

Yes

Job Reference:

a2bfd2c98fb5

Job Views:

2

Posted:

17.05.2025

Expiry Date:

01.07.2025

Job Description:

About the role

We are seeking an enthusiastic individual with an interest in data science and health informatics in mental health to work on a national project with DATAMIND – the mental health data hub, and the HDR-UK Mental Health Driver Programme. Our aim is to embed mental health in other HDR-UK Driver Programmes, for example, the Big Data for Complex Disease Driver. This is an exciting programme of research funded by UKRI, exploring the interface between physical and mental health. The post will be based in UCL Division of Psychiatry. The individual will work within a team of Research Fellows and PhD students focused on routine data and electronic health records to understand the interface of physical and mental health. The DATAMIND project will utilize several UK routine data sets to describe available data sources. The work includes an exemplar project on common mental disorders (e.g., depression), cardiovascular disease, and cancer, with scope for the candidate to shape this project based on their interests. We are particularly interested in data sources that can reveal relationships between health inequalities, ethnic inequalities, underserved groups, and co-occurring physical health issues. The role is initially a 1-year fixed-term contract, with potential funding for up to 4 years.

About you

You should have a PhD (or near completion) in epidemiology, health informatics, data science, or a related field, with a strong interest in analyzing large datasets. Proficiency with statistical software tools (e.g., R, STATA, Python, Julia) and experience running applications on large computer clusters are essential. Experience in epidemiology and bioinformatics, especially accessing, curating, cleaning, analyzing, and interpreting large routine and electronic health record datasets from diverse sources, is highly advantageous. The ideal candidate will be motivated, resourceful, and independent. We support career development and encourage independence. The successful applicant will have opportunities to collaborate with leading UK health data science experts and enhance the visibility of mental health research.

What we offer

In addition to the exciting work, we offer several benefits, including:

• 41 days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• On-site gym
• Enhanced maternity, paternity, and adoption pay
• Employee assistance programme: Staff Support Service

Full details of staff benefits can be found here.