Research Assistant in AI

The role

Imperial College London is seeking a Research Assistant to work on a British Heart Foundation-funded programme investigating disease mechanisms and precision risk prediction in hypertrophic cardiomyopathy (HCM). The role involves processing and analysing large-scale cardiac imaging data, integrating imaging, genetic, multi-omic, and longitudinal clinical data, and applying statistical and machine-learning models.

What you'll do

• Process, analyse, and quality-control large-scale cardiac imaging data
• Integrate imaging, genetic, multi-omic, and longitudinal clinical data
• Apply and help develop statistical and machine-learning models
• Write clean, well-documented, and reproducible code
• Contribute to shared analysis pipelines and open-source tools
• Present findings at group meetings and external conferences

What it takes

• MSc degree in a biomedical discipline
• Previous programming experience in Python and/or R
• Sound understanding of statistics and data analysis
• Careful, well-organised approach to data handling, documentation, and reproducibility
• Clear written and verbal communication
• Ability to work independently and within a multidisciplinary team

What you'll bring

How we treat you

10 development days, 41 days off a year, generous pension schemes, access to one of the largest and most deeply characterised HCM datasets, dedicated mentorship, strong scope for professional development, and a diverse, inclusive, and collaborative work culture.

How to apply

Apply directly on Imperial College London's site. We link straight through — no resume parsing, no profile to fill out.

This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on Imperial College London's official posting before applying.