Researcher/Data Scientist

Opportunity ID  

4841

Faculty   Medicine & Dentistry Location   QM London Contract Type   Fixed Term Duration   2 Years Working Patterns   Full Time

Full Time Equivalent (FTE)

 

1.00

Salary Range   £41,123 - £49,363 per annum Job Pack   Opp 4841.pdf – 746KB Opens in a new window Contact Details   Name: Professor Patricia Munroe and Professor Panos Deloukas

Email:p.b.munroe@qmul.ac.uk; p.deloukas@qmul.ac.uk About the Role  

About the Role

Applications are invited for Researchers in Data Science, Statistical Genetics and Machine Learning/AI based at the Centre for Clinical Pharmacology and Precision Medicine at the William Harvey Research Institute in Charterhouse Square.

The Faculty of Medicine and Dentistry is fully committed to supporting research efforts to tackle cardiovascular (CV) disease and improve patient care.  One of the four pillars in our Barts Biomedical Research Centre programme is Precision Cardiovascular Genomic Medicine, co-led by Professors Panos Deloukas and Patricia Munroe. Our research focuses on (i) deep phenotyping with multi-omics and advanced analytics to make a step change in diagnosis of CV disease; (ii) the use of polygenic risk scores for improving CVD patient care and disease prevention in diverse communities; and (iii) identify CVD molecular signatures to drive discovery and precision therapy.

In this context we are looking for researchers in the areas of Data Science and Statistical Genetics who will work together with international experts in CV basic and clinical translational research to investigate, integrate and interpret primary care, hospital, imaging and a variety of other data sources to advance our understanding in the above areas of research.

Furthermore, as part of the Horizon Europe programme NextGen (Next Generation Tools for Genome-Centric Multimodal Data Integration in Personalised Cardiovascular Medicine) we are looking for a researcher with Machine Learning/AI expertise to work with Professor Deloukas in developing synergistic tools to enable portable multimodal, multi-omic and clinically oriented research in the field of cardiovascular medicine and to develop algorithms for cardiovascular disease prediction using both clinical and multi-omics data from patients.

We are part of many national and international consortia with pioneering projects and outputs in cardiovascular research. The posts will support projects involving the analysis and interpretation of large complex datasets in order to gain novel understanding of the molecular mechanisms underlying disease.

About You

You will have a PhD (or equivalent) in computer/ statistics / data science or similar field. You will have expertise in data and statistical analysis with a strong component in machine learning and artificial intelligence techniques. You will have programming skills in R, Python or equivalent language and experience with Unix/Linux and shell scripting.

About the School/Department/Institute/Project

A number of large-scale patient and cohort studies are taking place nation-wide and internationally to address genetic, demographic and lifestyle risk factors associated with the cardiovascular system and develop new tools for improved disease diagnosis, prediction, and treatment.  The NIHR Barts Biomedical Research Centre (BRC) at QMUL and Barts Health Trust will support and coordinate projects aiming to address challenges in CVD research and work in concert with partners at the BHF-NIHR Cardiovascular Partnership as well as the BHF Accelerator internally. NextGen is a collaboration between 21 academic, clinical, technical, and commercial partners across Europe and the United States with access to clinical and multi-omic data from both population and patient cohorts. There is strong synergy between BRC and NextGen researchers working towards tools that will benefit CVD patients, providing faster diagnosis, and better treatments.

Closing Date  

16/01/2025, 23:55