We are seeking a motivated, laser-focused computational geneticist or network biologist for a role on our computational genomics team. The team is building a novel platform to leverage human genetics data to identify therapeutically important cell types and signaling pathways in our proprietary transcriptomics data. The group is applying recent breakthroughs in proteomics, next-generation sequencing, network biology, and computational genomics, in order to map the genetic correlates of disease discovered from Genome Wide Association Studies (GWASs) onto a comprehensive biological network representing the gut-brain axis. Statistical enrichment of genetic association in submodules of the network will implicate specific signaling pathways in human disease. Successful candidates for this role will have a strong background in both computer science and biology, together with the personal and technical skills required to contribute to a large, focused software engineering effort. Candidates should have a track record of developing or improving state-of-the-art computational methods, paired with experience working collaboratively on a shared codebase with other computational scientists or engineers. The ability to transition from academics to industry is a paramount requirement. The successful candidate will be a team player, whose ideas and contributions are focused on the team's specific objectives.
Qualifications and Education Requirements
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