We are seeking a highly motivated statistical geneticist to work on therapeutic target discovery. The successful candidate will analyze publicly-available and large-scale human genetic data-sets (e.g. biobank genotyping array and exome data) to identify disease risk variants, performing fine mapping to identify the putative causal variant and integrating rare variant data when applicable.
PhD in human statistical or population genetics
Solid knowledge of statistics
Proven experience with large-scale GWAS
Advanced knowledge of R and PLINK
Robust publication track record
Basic understanding of human disease biology
Preferred But Optional Qualifications:
Postdoctoral research experience
Experience in the therapeutics industry
About Deep Genomics
Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.