[BioC] Job Opening: Computational Biologist @ Genentech Bioinformatics

Michael Lawrence lawrence.michael at gene.com
Wed Sep 3 13:26:58 CEST 2014

Fellow Bioconductors,

Anyone looking for a position that involves a lot of Bioconductor and
cancer genomics may be interested in this opening:

*The Position*

The department of Bioinformatics and Computational Biology is seeking a
computational biologist with proven experience in the comprehensive
analysis of
large, multi-dimensional, genomic datasets. This person will be a member of
a highly
collaborative research group focused on oncology target and biomarker
discovery in
Genentech Research and Early Development.

The successful candidate will work closely with laboratory scientists to
discover new
cancer targets and biomarkers. Analyses will focus on the intriguing
between genome alterations, signaling pathway utilization and response to
therapies. Additionally, this person will perform bioinformatics-driven
research in
related areas of interest, independently, and collaboratively with other
biologists. Regular publication of research and/or software will be
strongly supported
and encouraged.

The technical skills that will be utilized in this position center on the
analysis of multiple
forms of high-throughput data, in the context of cancer genomics,
especially next-
generation sequencing data. A successful candidate should have solid
technical skills
and a collaborative mindset.

*Who You Are*

• You have a Ph.D. in bioinformatics, biostatistics, computational biology
or a related field.

• You have a solid track record of data analysis in an appropriate
computing environment. Experience with R is a plus.

• You have a solid understanding of the relevant concepts in cancer biology
and cancer genetics.

• You have a solid understanding of the statistical principles that
underlie current best practices in the field. Experience with biomarker
discovery and evaluation is a plus.

• You are highly organized, you pay attention to detail, and are committed
to principles of reproducible research.

• You look forward to solving technical problems and applying new
technologies, when they further your scientific goals.

• You enjoy working closely with collaborators and teaching them about
computational biology.

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