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Position: Principal Bioinformatics Scientist and Group Lead, Neuroscience
Institution: Genentech, Inc.
Location: South San Francisco, California, United States
Duties: The Genentech Bioinformatics department seeks a highly motivated computational biologist to lead a team supporting the analysis of high dimensional data from profiling and screening of in vitro cellular models to study and understand the underlying biology driving neurodegenerative diseases. The applicant will work on a highly collaborative team with colleagues in our Functional Genomics, Cellular and Tissue Genomics, Neuroscience, and Bioinformatics departments to utilize computational approaches to develop, characterize, and analyze data generated from cutting edge high throughput screening approaches to support our therapeutic pipeline. The applicant will leverage existing computational workflows and in some cases may need to aid in the assessment of emerging computational methodologies for the analysis of high dimensional data sets
Requirements: PhD degree in Bioinformatics, Biostatistics, Computational Biology or similar field. Postdoctoral experience is desirable, but not required; The successful candidate will likely have 10 or more years experience, post-PhD; Record of scientific achievements as evidenced by a strong publication record in top tier scientific journals; Proven experience analyzing and integrating high dimensional genomics data types such as single cell RNA-Seq, single cell ATAC-Seq, and functional genomics screens leveraging CRISPR technologies
   
Text: Principal Bioinformatics Scientist and Group Lead, Neuroscience The Genentech Bioinformatics department seeks a highly motivated computational biologist to lead a team supporting the analysis of high dimensional data from profiling and screening of in vitro cellular models to study and understand the underlying biology driving neurodegenerative diseases. The applicant will work on a highly collaborative team with colleagues in our Functional Genomics, Cellular and Tissue Genomics, Neuroscience, and Bioinformatics departments to utilize computational approaches to develop, characterize, and analyze data generated from cutting edge high throughput screening approaches to support our therapeutic pipeline. The applicant will leverage existing computational workflows and in some cases may need to aid in the assessment of emerging computational methodologies for the analysis of high dimensional data sets PhD degree in Bioinformatics, Biostatistics, Computational Biology or similar field. Postdoctoral experience is desirable, but not required; The successful candidate will likely have 10 or more years experience, post-PhD; Record of scientific achievements as evidenced by a strong publication record in top tier scientific journals; Proven experience analyzing and integrating high dimensional genomics data types such as single cell RNA-Seq, single cell ATAC-Seq, and functional genomics screens leveraging CRISPR technologies
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