£41,344 plus London allowance £5,385 per annum*
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. 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, visit MRC Postdoctoral Research Scientist in Machine Learning LMS – 2722 – Medical Research Council 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 N0vember
Please note that applications may be reviewed by both LMS and Imperial staff
Athena SWAN
In 2017, the Institute received an Athena SWAN Silver Award to recognize its commitment to advancing women’s careers in science and research.
At the LMS there are three working groups which deliver on the action plan developed for the silver application.
Equality, diversity and wellbeing
The MRC LMS is committed to creating equality of opportunity to all members of the organisation, regardless of their background, and promoting diversity and inclusivity. We observe the Medical Research Council’s Equality and Diversity Vision, which sets out the MRC’s commitment to fulfill its obligations as a public body under the Equality Act 2010.
Technician’s Commitment
The LMS is a signatory to the Technician Commitment, a sector-wide initiative led by the Science Council and the Gatsby Foundation which aims to address the particular career challenges faced by technical and scientific support staff.
We provide opportunities to work alongside some of the top medical researchers on the planet, from our state-of-the-art research facilities.