Research Assistant in AI

About the role

What you would be doing

• Process, analyse and quality-control large-scale cardiac imaging data, including machine-learning derived 3D cardiac models.
• Integrate imaging, genetic, multi-omic and longitudinal clinical data into analysis-ready datasets.
• Apply and help develop statistical and machine-learning models to characterise disease heterogeneity and predict patient risk.
• Write clean, well-documented and reproducible code, contributing to shared analysis pipelines and open-source tools.
• Present findings at group meetings and external conferences, and contribute to manuscripts and reports.
• Handle sensitive patient data responsibly in line with information-governance and ethical requirements.

What we are looking for

• Masters (MSc) degree in a biomedical discipline, or equivalent research experience.
• Previous programming experience in Python and/or R, and a sound understanding of statistics and data analysis.
• A careful, well-organised approach to data handling, documentation and reproducibility.
• Clear written and verbal communication, and the ability to work both independently and within a multidisciplinary team.
• Ideally, some experience of machine-learning methodology, medical image analysis, or biomedical datasets (desirable, not essential).

What we can offer you

• Access to one of the largest and most deeply characterised HCM datasets available.
• Dedicated mentorship from Dr Lara Curran within a multidisciplinary team spanning imaging, AI, genetics and cardiology.
• Strong scope for professional development and career support for researchers.
• Sector-leading salary and remuneration package including 43 days off a year and generous pension schemes.
• 10 development days for research staff to develop skills and explore career prospects.

Contract and working pattern

• This is a full-time post offered on a fixed-term contract for 24 months.
• Hybrid working is permitted, but in-person working minimum of 3 days a week.
• Location/campus: Hammersmith Campus - On site only.

Salary

• £45,399 - £48,876 per annum.

Further information

• A satisfactory Disclosure and Barring Service (DBS) check will be required as this post is exempt from the Rehabilitation of Offenders Act 1974.
• For further details about the role, contact Dr Lara Curran ([email protected]).