South San Francisco, California
Who We Are
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 Position
The position is in a statistical genetics group responsible for providing analysis support to experimental scientists. Day-to-day responsibilities will include collaborating with experimental scientists to assist them in the design of genetic studies, analysis of data (including quality control, data management) to identify variants/gene contributing to disease susceptibility and treatment outcomes, interpretation of findings, presentation of the work at internal meetings as well as external conferences, and manuscript writing. Data analysis will include: GWAS, linkage, eQTL, differential gene expression analyses, and application of functional genomic annotations (e.g. ENCODE data) and pathways/gene-networks. Focus areas include metabolic, ocular, autoimmune, and neuro-degenerative disorders.Who You Are
Applicant should have a Ph.D. or a Master's degree with significantrelevant experience in bioinformatics/computational biology and the
biologic interpretation of human genetic data. The ideal candidate
will be well versed in the management and analysis of large datasets,
including those derived from SNP arrays, expression arrays, and
next-generation sequencing platforms. Experience in the analysis
methods involved in large-scale genetic association studies for
complex diseases (e.g. correcting for population stratification,
imputation of genotypes), use of programming languages such as Perl,
Python, and statistical computing (R) is highly desirable. Familiarity
with molecular biology is a plus. Applicant should be highly
motivated, demonstrate excellent communication skills, and ability to
collaborate with experimental scientists.
The next step is yours. To apply today, click on the "Apply online" button below.
Genentech is an Equal Opportunity Employer.
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