Research Assistant in Medical Data Science

University of Oxford; Oxford; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A prestigious university is seeking a Research Assistant in Medical Data Science to join their IMPACT-SMI research programme. This role offers the opportunity to analyze electronic health record data from large mental health systems and contribute to innovative projects aimed at improving patient care. The ideal candidate will possess a relevant degree and experience in coding with R and/or Python. This position supports a flexible hybrid working model, requiring a minimum of 3 days in the office, with a commitment to equality and diversity at the workplace.

Benefits

Contributory pension scheme

38 days annual leave

Childcare services

Family leave schemes

Cycle loan scheme

Discounted bus travel

Membership to social and sports clubs

Qualifications

• Experience analyzing large electronic health record datasets in mental health.
• Ability to write code in R and/or Python.
• Familiarity with version control and contributing to open-source projects is desirable.

Responsibilities

• Analyse electronic health record data from large mental health systems.
• Write efficient code in R and/or Python to streamline data analysis.
• Apply fundamental data science techniques to support research objectives.
• Contribute to research publications and manage version control for open-source code.

Skills

R programming

Python programming

Data analysis

Version control

Education

First degree in relevant subject (data science, statistics, etc.)

Job description

Overview

We are looking for a Research Assistant in Medical Data Science to join our IMPACT‑SMI research programme. Our mission with IMPACT‑SMI is to transform the lives of millions of people with severe mental illness (SMI) by making their condition more predictable and manageable.

What We Offer

• 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

Availability

This post is available on a flexible hybrid basis, with a minimum of 3 days in the office.

About the Role

The post is funded until 31 October 2027 and is based in the Department of Psychiatry at the Warneford Hospital. You will have access to large datasets spanning millions of patients with mental illness to contribute to a range of projects, including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data‑driven personalised treatment approaches. In this role, you will collaborate closely with academic and industry partners, gaining valuable exposure to translational research. Your work will directly contribute to the creation of tools designed for integration into clinical practice, ensuring tangible impact on patient care.

Responsibilities

• Analyse electronic health record data from large mental health systems.
• Write efficient code in R and/or Python to streamline data analysis.
• Apply fundamental data‑science techniques to support research objectives.
• Contribute to research publications and manage version control for open‑source code.

Qualifications

• First degree in a relevant subject (data science, statistics, computer science, engineering, mathematics, etc.).
• Prior experience analysing large electronic health record datasets in mental health.
• Demonstrable ability to write code in R and/or Python.
• Experience with version control and contributing to open‑source projects is desirable.

Diversity & Inclusion

Committed to equality and valuing diversity. Our active Psychiatry People and Culture teams work to make the Department of Psychiatry supportive, welcoming and inclusive.

Location

Department of Psychiatry, Warneford Hospital, Oxford OX3 7JX

About the University

The University of Oxford is a world‑class centre of excellence with a strong research programme funded by the Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR). The Dept. of Psychiatry offers highly rated medical training and is led by Professor Belinda Lennox.