View Vacancy MRC Postdoctoral Research Scientist in Machine Learning LMS - 2722 Open Date 10/10/2025, 10:40 Close Date 10/11/2025, 23:55 Research Institute MRC Laboratory of Medical Sciences Research Institute / Unit Information The MRC Laboratory of Medical Sciences (LMS) is a biomedical research institute where scientists and clinicians collaborate to advance the understanding of biology and its application to medicine. LMS is one of three directly funded MRC research institutes and enjoys close links with our partners at Imperial College London and at the Imperial College Healthcare NHS Trust. UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, more information can be found at www.ukri.org Band MRC - 4 Location London Salary £41,344 plus London allowance £5,385 per annum* Allowances *Additional allowances comprise a £1,000 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 the third year. Contract Type Fixed Term Job Type Science Full Time / Part Time Full Time Contract Length 3 years Job Description Overall purpose: 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. 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 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. 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 role involves performing semi-independent research as well as supporting other members of the group. The post holder will have the opportunity to attend scientific conference, and publish the results of their work in leading journals. There will also be an opportunity to contribute to external grant applications. There is a vibrant and supportive scientific community at the LMS with outstanding opportunities for career development and training. Key skills: Background in AI/ML and data science Experience of using large databases and data wrangling Excellent programming skills in R and Python - including use of Jupyter Notebooks and cloud computing resources Advanced knowledge in a range of predictive tasks, clustering techniques and inference modelling Knowledge of HPC environments, Git and Docker an advantage Main responsibilities: To develop models for high dimensional clustering and prediction tasks using biomedical imaging Perform analyses both on premises and cloud compute To manage the work in collaboration with other members of the team and external partners To write and publish the work, as well as prepare grant submissions To take an active role in the academic work of the group and support the organisation as a whole To present at seminars and conferences as necessary To co-supervise MSc students Willingness to work out of normal working hours (including weekends) if the requirements of the project demand To contribute to the smooth running of the Group's/Unit's laboratories and, facilities with other scientists, clinicians, technicians and students within the laboratories To comply with the Institute, College, Division, and Unit safety practices and to attend courses on safety when appropriate Any other duties as may be deemed reasonable by Head of group as well as Head of Division Person Specification Education / Qualifications / Training required (will be assessed from application form): Essential: PhD (or equivalent experience) in Data Science / Computational Science or a closely related discipline Knowledge and experience (will be assessed from application form and at interview): Essential: Excellent skills in R and Python with proven ability in programming and handling large datasets Proven ability to independently develop advanced AI architectures for medical research Experience of working in a multidisciplinary research group Excellent written communication skills in English Desirable: Previous experience of DNAnexus or UKB Research Analysis Platform Experience in writing Bash scripts and using Linux environments Familiar with HPC scheduling and using Docker Good knowledge of Git for version control Experience of managing large databases and data wrangling Track record of software development and package creation Personal skills / Behaviours / Qualities (will be assessed at the interview): Essential: Ability to conduct reproducible research Ability to conduct a detailed review of recent literature Ability to develop and apply new concepts Creative approach to problem-solving Excellent verbal communication skills in English and the ability to deal with a wide range of people Ability to direct the work of a small research team and motivate others to produce a high standard of work Ability to organise own work with minimal supervision Ability to prioritise own work in response to deadlines Advanced computer skills, including word-processing, spreadsheets and the Internet Willingness to work as part of a team and to be open-minded and cooperative Flexible attitude towards work Discipline and regard for confidentiality and security at all times Willingness to work out of normal working hours (including weekends) if the requirements of the project demand Willingness to undertake any necessary training for the role Willingness to work predominantly on site Further Information Additional information: Applicants should submit a 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 note that applications may be reviewed by both LMS and Imperial staff The MRC is a unique working environment where scientific researchers and professional support staff can actively partake in world class innovation and collaboration opportunities and their skills and knowledge through accessing a wide catalogue of training & development, including professional registration with the Science Council. In addition, MRC (part of UKRI) provides its community of employees access to a whole host of useful benefits, including a defined benefit pension scheme and excellent holiday entitlement (30 days plus 2.5 privilege days & 8 bank holidays), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more - Benefits Our success is dependent upon our ability to embrace diversity and draw on the skills, understanding and experience of all our people. We warmly invite people from diverse backgrounds and heritage, including people who identify as having a disability, to apply for a role that excites them. As "Disability Confident" employers, we guarantee to interview all applicants who have disclosed they have a disability and who meet the minimum criteria for the vacancy. UKRI supports research in areas that include animal health, agriculture and food security, and bioscience for health which includes research on animals, genetic modification and stem cell research. Whilst you may not have direct involvement in this type of research, you should consider whether this conflicts with your personal values or beliefs. We will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all individuals that are offered a position with UKRI. This will include a security check and an extreme organisations affiliation check. The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment.