Bioinformatics Engineer III

Job Description

Job ID: 21959
Date Posted: 12/15/2011
Location: 450 Brookline Ave
Job Family: Bioinformatics
Full/Part Time: Full-Time
Regular/Temporary: Regular
FLSA Status: Exempt

Job Summary:

Dr. Jarrod Marto of the Dana-Farber Cancer Institute and Harvard Medical School is recruiting a creative and highly motivated bioinformatics engineer for the Blais Proteomics Center (http://blais.dfci.harvard.edu/). The successful candidate will contribute to the design, implementation, and maintenance of high-performance, mass spectrometry-based proteomic data-analytic pipelines and visualization systems. This is a full-time, on-site position that includes frequent interaction with graduate students and research associates for experimental design and various data-analytic tasks.

Candidates for this position will have numerous opportunities to publish their work. Examples of research related to informatics at the Blais Proteomics Center can be found at:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691659/?tool=pubmed

http://www.biomedcentral.com/1471-2105/10/364

http://www.mcponline.org/content/9/5/780.long

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139977/?tool=pubmed

http://www.mcponline.org/content/early/2011/01/25/mcp.M110.003970

http://www.mcponline.org/content/early/2011/01/25/mcp.M110.003988

The Dana-Farber Cancer Institute is a world-leader in clinical cancer care and basic research, and has committed substantial laboratory space and resources for the Blais Proteomics Center. Interested candidates should submit electronic copy of their curriculum vitae, and a cover letter describing their qualifications, relevant experience, and career goals to:

Dr. Jarrod Marto

c/o Ms. Nicholle Wurie

The Dana-Farber Cancer Institute

450 Brookline Avenue, Smith Bldg., Rm., 1158

Boston, MA 02215-5450

Email: nicholle_wurie@dfci.harvard.edu

Job Qualifications:

The ideal candidate for this full-time position will have a degree in Bioinformatics, Computer Science, or related field, with a solid foundation in statistics. Preference will be given to those candidates with applied programming experience, particularly in analysis of high-throughput molecular data in general, and mass spectrometry-based proteomic data in particular. A working knowledge of software development is also desirable. In addition the candidate should possess strong multi-tasking capabilities, thrive in a multi-disciplinary research environment, and proactively contribute to maintenance of the Center’s computational infrastructure. The primary coding environment for this position is Python and C++/C#. Candidates should also have working knowledge of Adobe Flex, R and SQL.

Schedule:

Full time flexible

Employment Type

Full-Time

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