We are currently seeking a highly motivated and talented postdoctoral researcher in biomedical data science to join our team at the Cambridge Baker Systems Genomics Initiative (CBSGI) and Cardiovascular Epidemiology Unit (CEU) at the Department of Public Health and Primary Care (DPHPC). The post would suit naturally collaborative, self-motivated researchers interested in the aetiology and prediction of cardiovascular and metabolic diseases as well as their common comorbidities. The post holder will have experience in the application of machine learning, artificial intelligence, bioinformatics and biostatistics to analyse large-scale genomic and phenotypic data in the CEU's broad portfolio of multi-omic cohorts.
The primary role of the post holder will be to lead projects involving the quantitative analysis and interpretation of genomic and phenotypic data using polygenic scores, GWAS, Mendelian randomisation, and other statistical and machine-learning techniques. The successful role-holder will have research interests aligned with those of CBSGI and CEU. They will have the freedom to develop new research ideas, in particular by leading/contributing to new grant or fellowship applications.
Initial potential research projects include: (i) the role of iron deficiency in cardiometabolic disease risk across populations, (ii) integrating multi-omics data to determine the molecular etiology of specific cardiometabolic multimorbidity patterns, (iii) uncovering demography-based heterogeneity in causal effects of molecular traits on disease outcomes, or (iv) predicting multimorbidity trajectories by combining data from e-health records, lifestyle factors, and genetic data.
The post-holder will be expected to evaluate and develop the statistical methods necessary to test hypotheses of interest, such as those listed above and advise on appropriate statistical practices. However, we are also open to exploring other research questions that could be addressed using data available to us. The work of the post-holder is expected to lead to first author high-impact publications.
The preferred candidate will have a PhD in in a subject related to biomedical or health data science: Statistical Genetics, Computational Biology/Bioinformatics, Biostatistics, Epidemiology, Statistics, Computer Science, Mathematics or similar or equivalent experience. They will have In-depth knowledge of and demonstrated experience in statistical genetics (e.g. GWAS, QTL analysis, polygenic scores), Strong quantitative (in silico) analysis skills and experience using statistical programming packages (e.g. R) and/or scripting languages (e.g. Python) and experience working on computing clusters/computers running Linux based operating systems.
The funding supporting this short-term post is available for up to 4 months from commencement in post.
Located at the new Victor Phillip Dahdaleh Heart & Lung Research Institute, Cambridge Biomedical Campus, Papworth Road, Trumpington, Cambridge CB2 0B
Informal enquiries are welcomed and should be directed to: Professor Mike Inouye
The closing date for applications is: 31st October 2024
The interview date for the role is: 4th November 2024
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
The latest news, articles, and resources, sent to your inbox weekly.
RoleWe use a combination of advanced live cell imaging microscopy approaches together with machine learning to understand and predict cell behaviour in heterogeneous populations, with a current focus on breast cancer cells and explant cultures. In this new project, funded by the Wellcome Trust, we will build on our existing...
University of York York
Title:Data Science Faculty (Multiple Positions, Open Rank, Non-Tenure Track/Tenure Track/Tenured)Agency:ACADEMIC AFFAIRSLocation:Norfolk, VAFLSA:Hiring Range:Full Time or Part Time:Job Description:Under the leadership of President Brian O. Hemphill, Old Dominion University is pleased to announce another round of hiring for the newly established School of Data Science, featuring a unique collaboration with nearby...
Commonwealth of Virginia Hales
SummaryThis post-doctoral research will be conducted in collaboration with a multidisciplinary team of experts in the fields of neuroscience, immunology, pain, anesthesia, and machine learning. The team also aims to recruit additional post-doctoral research associates, one research technician, one research assistant, and one research nurse.Successful applicants will be responsible for...
University of Birmingham
BAT is evolving at pace into a global multi-category business. With products like VELO, VUSE and GLO we are on a mission to decrease the health impact of our industryTo achieve our ambition, we are looking for colleagues who are ready to Be the Change. Come, join us on this...
British American Tobacco Southampton
SummaryThis post-doctoral research will be conducted in collaboration with a multidisciplinary team of experts in the fields of neuroscience, immunology, pain, anesthesia, and machine learning. The team also aims to recruit additional post-doctoral research associates, one research technician, one research assistant, and one research nurse.The successful applicant will be responsible...
University of Birmingham
Job descriptionSite Name:USA - Pennsylvania - Upper Providence, UK – London – New Oxford StreetPosted Date:Oct 17 2024The Director Digital Biomarkers and Analyticsis responsible fordeveloping “fit for purpose” Digital Endpoint strategytoenableGSK’sportfoliowith Data driven decision making. DevelopingMachine learning models toidentifythe right digital measures/endpoints that correlate to severity of the disease by...
GSK London
