Associate Scientist or Scientist (Bioinformatics)

Job ID:
Job date: 2018-05-04
End Date: 2018-07-03

Company : Genentech 

Country : United States 

Role : Research Scientist 


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Job Description:
Genentech seeks a talented and highly motivated bioinformatics scientist to pursue basic research to further our knowledge of disease-related cellular signaling in collaboration with the Physiological Chemistry and Early Discovery Biochemistry departments. The successful candidate will get the opportunity to pair world-class science with real human impact.

The primary focus will be on the analysis and interpretation of high-throughput genomic and other molecular data, to further our understanding of the components of signaling pathways that often go awry in disease, such as cell death and inflammation.

We are looking to add a new member to our team with outstanding computational skills, experience with the analysis of large-scale data, and an understanding of cellular signaling. The candidate will work with interdisciplinary teams of computational and molecular scientists, pursue creative solutions to complex problems via the analysis, integration and interpretation of a variety of data, and apply (or develop) best-in-class algorithms that address the motivating biological and clinical questions. Regular publication of both scientific and methodological results is strongly encouraged. Besides technical expertise, we are looking for someone who is passionate about applying their skills to advance our understanding of basic science with a direct connection to the clinic, and who is able to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of scientists.

Who You Are:

  • You have a PhD in bioinformatics, biostatistics, computational biology or similar, with a strong publication record. Alternatively, a PhD in molecular biology combined with a very strong record of high-throughput data analysis, supported by publication in this area. Postdoctoral experience is a plus.
  • You have broad experience with data generated by one or more high-throughput molecular assays such as next-generation sequencing and mass spectrometry proteomics. Experience with ChIP/ATAC- and/or single-cell sequencing is a plus.
  • You are comfortable writing code in a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis.
  • You have an understanding of the statistical principles behind current best practices in high-throughput molecular data analysis.
  • You have a solid understanding of the relevant concepts in cellular signaling, inflammation and cell death.
  • You enjoy working closely with bench scientists and bioinformatics teams to collaboratively solve complex biological problems, and are able to handle several concurrent, fast-paced projects.
  • You are passionate about applying your skills in genomics analysis to utilize bioinformatics methods (e.g. from Bioconductor) to understand the biology of disease.
  • You have exceptionally strong communication, data presentation and visualization skills.
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