Postdoctoral Research Fellow - Bioinformatics/Statistical Genetics
South San Francisco, California
Job ID: 00408062
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At the Roche Group, about 80,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 30 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. The headquarters for Roche pharmaceutical operations in the United States, Genentech has multiple therapies on the market for cancer and other serious illnesses. Please take this opportunity to learn about Genentech, where we believe that our employees are our most important asset and are dedicated to remaining a great place to work.
The PositionWe are accepting applications for a post-doc position in the areas of Statistical Genetics or Bioinformatics. Genentech provides a unique environment for basic research, including the availability of rich datasets and technologies, the opportunity to work with the world's leading experts in various areas, and a culture of close collaboration between experimental and computational scientists. Postdoctoral fellows from Genentech have had a long history of publishing work of high quality and major impact, and have continued onto distinguished careers in both academia and industry.Who You AreFor this position, we are seeking an individual with a strong background in a quantitative field, such as statistics or computer science and a reasonable working knowledge of molecular biology. Candidates with preparation in biology who can demonstrate competence in quantitative sciences or programming will also be considered. He or she should be motivated, able to work well in teams, and have excellent communication skills. Potential areas of application include: Development of new methods related to GWAS (e.g. rare variant associations, pathways/gene-networks based analyses, using eQTL and ENCODE resources to identify causal variation); population genetic analysis of high resolution variation data to infer selection, demography; analysis of next-generation sequencing data for the discovery of novel transcripts, novel isoforms, novel gene fusions, RNA editing, or transposon expression and reintegration.
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Genentech is an Equal Opportunity Employer.