We seek a highly motivated Data Scientist or Bioinformatician to work within the Congenital Heart Disease Research group led by Bernard Keavney, British Heart Foundation (BHF) Professor of Cardiovascular Medicine. The post is funded until 31st March 2028 by the BHF. The Keavney group is an international leader in Congenital Heart Disease (CHD) research. CHD is the commonest birth defect which affects around 1% of the population globally. As the adult population with CHD has grown due to effective childhood treatment, survivors are increasingly susceptible to the common diseases of later life; we seek to understand the reasons for this.
The group has recently identified several genes and genomic regions predisposing to CHD through GWAS, whole-exome sequencing, and genome-wide CNV characterisation; updated the global epidemiology of CHD through meta-analysis; and identified novel CHD comorbidities through electronic health record research.
You will contribute (with two other postdoctoral research Bioinformaticians/Data Scientists) to the analysis of large-scale population resources such as UK Biobank, the 100,000 Genomes, the Clinical Practice Research Datalink (CPRD) and our own in-house data. Hypotheses to be tested will involve both genetic and non-genetic data. Therefore, a background either in electronic health record research or human population genomics would be suitable for this post. A strong statistical background (either in statistical genetics or statistical epidemiology) would be an advantage.
You will analyse and integrate datasets with the aim of identifying causative loci, mechanisms, comorbidities and potential interventions in congenital heart disease. You will have the opportunity to develop novel tools and approaches that bear on these problems, implement and deploy new and existing bioinformatics applications, contribute to grant applications and publications, and develop your career towards scientific independence.
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Bernard Keavney
Email: Bernard.Keavney@manchester.ac.uk
General enquiries:
Email: People.Recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
