Senior Computational Biologist / Computational Biologist

South San Francisco, CA, United States
Apr 14, 2021
Science/R&D, Biology
Biotech Bay
Required Education
Masters Degree/MBA
Position Type
Full time

We Are Genetic Navigators bringing together passionate, creative and dedicated professionals to join a rapidly-growing startup on our mission to translate novel genetic insights into lifesaving medicines. We are integrating human genetics and functional genomics to decode the mysteries of genetic modifiers, leading us to new medicines we'll develop for a range of severe diseases.

We are seeking a talented and highly motivated scientist to help build and expand our computational biology discovery platform. The successful candidate will join a team of data scientists, computational biologists, bench scientists, and automation engineers to mobilize genetics and functional genomics data towards the discovery of new therapeutic targets and drugs.

Your Role in Navigating The Maze:


  • You will become an integral member of our target and drug discovery teams, helping to move programs from concept to the clinic
  • You will help design and interpret functional genomics and computational biology experiments, often integrating data from genetics and external sources
  • You will work with the Human Genetics, Functional Genomics, Stem Cell and Drug Discovery departments to design and implement cutting-edge analysis and visualization tools and production-quality bioinformatics pipelines
  • You will communicate data and scientific results to both internal and external audiences, advise on analytical and statistical best practices, and contribute to open-source and collaborative projects
  • You will propose new approaches and methods using your computational biology expertise, elevating our ability to break barriers in target discovery

Your Navigation Tools:



  • Advanced degree (or equivalent experience) in computational biology, bioinformatics, statistics, or other scientific field that has relevance to high-dimensional biological data; 2+ years' experience (industry or academic) is preferred
  • Demonstrated success developing and applying statistical and computational methods for analyzing and interpreting diverse functional genomics experiments
  • Familiarity with pipelines and best practices for analyzing genomics data and diverse modern applications of sequencing technologies (including various high throughput and single cell applications)
  • Extensive experience in the use of a high-level programming language (particularly R/Bioconductor, or Python/Pandas)
  • A demonstrated ability to understand scientific needs from multiple R&D functions and a drive to bring complex projects to successful conclusion
  • Experience working and communicating with diverse scientific teams; strong data presentation, analytical and visualization skills
  • A highly motivated, proactive and “can-do” disposition