At a Glance
- Tasks: Engineer data pipelines and develop ML tools for mental health research.
- Company: Join a world-leading team at Swansea University Medical School.
- Benefits: Enjoy 31 days annual leave, competitive pension, and flexible hybrid working.
- Other info: Work with unique datasets and enjoy a lower cost of living.
- Why this job: Make a real impact on mental health using cutting-edge AI technology.
- Qualifications: Strong ML foundations and programming skills in Python/SQL required.
The predicted salary is between 39355 - 45413 £ per year.
This is a Fixed Term position until March 2028 working full-time. We are seeking a Machine Learning (ML) Researcher to advance AI capabilities within DATAMIND TRE and the Mental Health Goals (MHG) Observatory (national infrastructure supporting the UK Government's commitment to mental health research). This is a 24‑month fixed‑term position (to March 2028) with strong extension potential, as the MHG programme is funded until March 2030.
While ML holds transformative potential for mental health research, applying these methods within Secure Data Environments (SDEs) requires specialised infrastructure and practices that align with epidemiological rigor. You will bridge this gap by making large‑scale health datasets ML‑ready, developing tools for responsible ML research within SDEs, and demonstrating best practices through exemplar projects.
Working within our SDE, you will:
- Engineer data pipelines that transform billions of health records into ML‑ready formats while preserving data provenance and epidemiological validity.
- Develop and deploy ML tools, and workflows designed for the constraints and requirements of SDEs.
- Lead applied research projects that showcase how modern ML methods can advance mental health and suicide prevention research.
You will join a world‑leading team led by Prof. Ann John (director of DATAMIND, SAGE member, Samaritans Trustee) managing over £20M in mental health research funding. Based at Swansea University Medical School (ranked 1 in the UK for Research Environment, REF 2021), you'll work with unique population‑scale and cohort datasets.
Enjoy flexible hybrid working minutes from the Gower Peninsula's stunning coastline, with competitive benefits including 31 days annual leave, 14.5% employer pension contribution (USS), and a lower cost of living than London or the Southeast.
We are seeking an ambitious researcher or data scientist with strong ML foundations, programming expertise (Python/SQL), and interested in bridging ML methods with epidemiological research. You combine technical rigor with the ability to communicate complex methods to clinical and public health researchers.
Research Officer - DATAMIND TRE & MHG Observatory AI in Swansea employer: Career Choices Dewis Gyrfa Ltd
As a Research Officer at Swansea University Medical School, you will be part of a world-leading team dedicated to advancing mental health research through innovative machine learning techniques. Enjoy a supportive work culture that prioritises employee growth with access to unique datasets and flexible hybrid working arrangements, all while benefiting from competitive perks such as generous annual leave and a substantial pension contribution. Located near the breathtaking Gower Peninsula, this role offers not just a job, but a meaningful opportunity to contribute to impactful research in a vibrant academic environment.
Contact Details:
Career Choices Dewis Gyrfa Ltd Recruitment Team
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We think you need these skills to ace Research Officer - DATAMIND TRE & MHG Observatory AI in Swansea
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