Associate Comp Biologist II

Organization
Broad Institute
Job Location
Cambridge, MA
Job Description

The Kadoch Lab at the Dana-Farber Cancer Institute, Harvard Medical School and the Broad Institute focuses on cancer biology, epigenetics, and chromatin regulation. Our lab is uniquely centered at the intersection between biochemistry and functional studies of chromatin remodeling complexes, which are frequently mutated in human cancers.

We seek a highly motivated individual to work closely with the PI and members of the Kadoch Lab in a drug discovery effort aimed at targeting chromatin remodeling complexes in cancer. This Associate Computational Biologist will analyze cancer data, particularly ChIP-Seq and RNA-Seq, within a team focused on cancer drug discovery. This position provides a rich environment to expand skills in computational biology within a world-class, highly collaborative research environment at the Broad, as well as to provide key contributions to projects resulting in publications.

Characteristic duties:
- Designs and executes data analysis strategies to support cancer research projects, particularly through the analysis of ChIP-Seq and RNA-Seq data
- Works within teams to develop new methods for integrating large data sets
- Works closely with experimental colleagues and contributes to larger experiments as part of a team
- Maintains high quality notebooks documenting analyses and results
- Attends team meetings and communicates results and contributes to project and experiment planning
- Bachelor’s degree in a quantitative field (i.e. computer science, bioinformatics, physics or quantitative biology) with 3+ years of related experience required, OR Master's degree in a related with 1+ year of related experience.
- Proficiency in at least one modern programming language required and experience with a scientific programming environment (i.e. R or Matlab) preferred
- Interest in cancer and chromatin required, prior knowledge of these areas would be a plus but is not necessary
- Ability to communicate effectively and work as a member of a team

EOE/Minorities/Females/Protected Veterans/Disabilities

If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2196877-2647-2621

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