Computational Biologist Research Associate

Position Details

  • Job Title: Computational Biologist Research Associate
  • Location: New York
  • Job Category: Data Science

Position Summary

We are seeking a motivated, laser-focused associate computational 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.  

Key Responsibilities

  • Work on a small, highly collaborative team to develop software for a shared codebase that
    implements the human genetics data mining strategy
  • Contribute to internal communication efforts
  • Participate in code reviews; software deployment and maintenance; iteration planning and
    timeline estimation; and software design discussions

Qualifications and Education Requirements

You must have

  • B.S. or M.S. in Computer Science, Genetics, or Computational Biology
  • Self-motivation, focus, and diligence
  • Substantial programming experience, preferably in C++, Python, and/or R
  • Excellent communication and interpersonal skills (the role requires communicating about complex biological and computational issues)
  • Commitment to rigor, in both quantitative analysis and software development
  • Some form of collaborative experience working on a team of engineers or computational
    scientists
  • A basic understanding of biochemistry, cellular biology, and genetics

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