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Job Details

Statistical Scientist Translational Genomics

Company name
Genentech, Inc.

Location
South San Francisco, CA, United States

Employment Type
Full-Time

Industry
Sciences, Scientist, Biotech

Posted on
Nov 16, 2020

Valid Through
Mar 01, 2021

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Profile

We are seeking a highly motivated statistical scientist to join Genentech’s Translational Genomics group supporting computational efforts across the Research organization. The successful candidate will work in a collaborative environment, teaming with discovery scientists to design experiments, analyze results, and prototype software solutions to answer underlying biological questions. The candidate will lead in evaluation of both the theory and software implementations for published statistical models applied in facets of genomic data analysis such as quality control and normalization, estimation of effect sizes and precisions, biologically relevant clustering and dimensionality reduction, and visualization and communication of results to a diverse audience of quantitative and experimental scientists. External publication of both scientific and methodological innovations is strongly encouraged.

Our Translational Genomics efforts span the interface of human genetics, functional genomics, molecular biology, disease model engineering, and advanced computational methodology. This group works closely with our disease area scientists to identify new therapeutic hypotheses and advance transformative medicines.

Requirements

Ph.D. in statistics, biostatistics, computer science, mathematics, or similar, with a strong publication record. Education in theoretical and applied statistics with the demonstrated ability to deploy novel methods to advance biomedical research.

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. 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.

Enthusiastic and skilled communicator of statistical concepts to non-statisticians. Collaborative researcher, making co-author level contributions to scientific publications.

#LI-GL1

#functionalgenomics

#bioinformatics

Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

The next step is yours. To apply today, click on the Apply for this job button.

Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page

Company info

Genentech, Inc.
Website : http://www.gene.com

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