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MRC Investigator Scientist in Bioinformatics

Employer
MRC Laboratory of Medical Sciences
Location
London
Salary
£41,843 - £43,962 plus London allowances (£3,913 & £1,472) per annum
Closing date
30 Jun 2024

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Discipline
Life Science
Job Type
Researcher
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Charity/NGO

MRC Investigator Scientist in Bioinformatics

Computational Cardiac Imaging Group

Fixed term, 3 years

£41,843 - £43,962 plus London allowances (£3,913 & £1,472) per annum

London, UK

 

We are seeking a talented investigator scientist to work on a new collaboration on human aging with Calico Labs. Aging is a key risk factor for cardiovascular disease and recent work has identified several potential mechanisms by which human aging could be attenuated. This is part of a 3-year program using cardiovascular MRI to assess modifiable mechanisms of aging, available at MRC Laboratory of Medical Sciences (LMS) in Computational Cardiac Imaging Group headed by Professor 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 substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge of a wide range of statistical tools including gradient boosting algorithms, as well as causal inference techniques such as structural equation modelling is required. The candidate should have proven programming experience including Python and R. Previous work on biomedical datasets and genomics would be an advantage. We are also looking for an ability to innovate and adapt techniques from other domains.

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. You 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 https://mrc.tal.net/vx/lang-en-GB/appcentre-1/candidate/postings/2686 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 2426. 

Closing date: 30 June 2024 

The MRC is an equal opportunities employer.

‘Leading Science for Better Health’

Final appointment will be subject to pre-employment screening

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