Research Associate in Bioinformatics and Genetics
Core
Lead analysis and interpretation of multiomic data to define genetic risk factors and develop data-driven approaches for population segmentation in the context of cardiac disease.
Role type
Postdoctoral Research Associate in Bioinformatics and Genetics
Builds
Integrative models combining imaging and biological data; research papers using novel methods.
Domain
Cardiovascular disease research, genomics, proteogenomics, GWAS
Deliverable
research
Required skills
GWAS analysis, functional annotation, data science pipeline development, genomic analysis, knowledge graph construction, proteogenomics expertise
Preferred skills
Experience with DNAnexus or similar platforms, experience with UK Biobank or similar repositories, experience with rare variant analyses
Technologies
DNAnexus, UK Biobank
Responsibilities
Develop bioinformatics and data science approaches for multiomic datasets; perform GWAS and rare variant analyses; model metabolomic and proteomic datasets; collaborate with data scientists to build integrative models; lead on writing research papers.
Seniority
Postdoctoral Research Associate