We are seeking a highly motivated Scientist with a strong background in statistics to join Genentech’s Translational Genomics group supporting computational efforts across the Research organization. The successful candidate will work in a collaborative environment, partnering closely with our functional screening group to design experiments, analyze results, and develop & prototype analytic solutions to address underlying biological questions driven by functional genomics approaches. The candidate will lead the evaluation and implementation of statistical methods for existing and emerging high dimensional modalities and will partner closely with our Data Science and Statistical Computing group on method implementation. Communication of results to a diverse audience of quantitative and experimental scientists will be key, and external publication of both scientific and methodological innovations strongly encouraged. Our Translational Genomics efforts span the interface of human genetics, functional genomics, molecular biology, disease model engineering, and advanced computational methodology. Translational Genomics group members work closely with the disease area.

Requirements 

• D. in statistics, biostatistics, computer science, mathematics, or similar, with a strong publication record. Postdoctoral training is desirable.
• Education in theoretical and applied statistics with the demonstrated ability to deploy novel methods to advance biomedical research. 
• Experience with assays and accompanying data formats used in molecular biology such as those for next-generation sequencing, single-cell sequencing, various modalities of CRISPR technology, ChIP-Seq, ATAC Seq, etc. 
• Extensive experience in the use of a high-level programming language such as R  (preferred) or Python for statistics and computational biology. 
• Experience with Bioconductor a plus. Familiarity with UNIX and shared high-performance computing environments. 
• Ability to work independently and collaboratively on multiple fast-paced projects in  molecular biology and genomics. 
• Enthusiastic and skilled communicator of statistical concepts to non-statisticians.  Collaborative researcher, making co-author level contributions to scientific publications. 

Relocation benefits are available for this job posting.

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