MRC Postdoctoral Research Scientist in Machine Learning

3 Years fixed term

London, UK 

We are seeking a talented scientist to develop innovative machine leaning approaches for understanding human health using cardiovascular imaging. These approaches integrate large datasets including health care records, genomics and imaging to prioritize novel therapeutic targets and identify mechanisms that modify risk of disease.  

This is part of an interdisciplinary program of research at the MRC Laboratory of Medical Sciences (LMS) in the Computational Cardiac Imaging Group headed by Professor Declan O’Regan. 

The LMS is a world-class research laboratory where scientists and clinicians collaborate to advance the understanding of biology and its application to medicine. Funded by the MRC as part of UK Research and Innovation, the LMS has a collaborative working culture and new state-of-the-art building based in the heart of West London in the Hammersmith Hospital Campus. For more information, visit oreganlab.org. 

The Computational Cardiac Imaging Group works at the intersection of clinical imaging, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering potential therapeutic targets and identifying genetic risk factors. We use a flexible and inter-disciplinary approach to research that moves between individuals, populations and model organisms. 

Applicants should have a track record of experience in machine learning, statistics and data science and will lead on developing models for precision medicine, genotype-phenotype association, and advanced prediction tasks. Knowledge of a wide range of statistical tools and clustering / prediction algorithms is required. Experience of using foundation models and generative AI would be an advantage.  Specific experience of using UK biobank data and human imaging would be desirable. The applicant should have proven programming experience including Python and R as well as using HPC and GPU environments.  

The post offers an exciting opportunity to work at the cutting-edge of translational medicine research in a vibrant and supportive multi-disciplinary team that crosses traditional scientific domains. The post holder will have the opportunity to liaise with an extensive network of collaborators, attend scientific conferences, and publish the results of their work in leading journals. There is also a vibrant and supportive community at the LMS with outstanding opportunities for career development and training. 

For full details of this post and to complete an online application, please click on the 'Apply' button above and upload your CV, names and contacts of two scientific references along with a cover letter stating why you are applying for this role (providing evidence against the requirements of the job as per the job description and person specification). Please quote reference number LMS 2722. 

Closing date: 10 November 

*Additional allowances comprise of a £1,0000 lump sum Settlement Allowance, plus a yearly Training Allowance of £850 in the first year, paid in monthly instalments. The training Allowance increases to £1,300 in year two and £1,800 in year three. 

Please note that applications may be reviewed by both LMS and Imperial staff.