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Careers with CMap@Broad

The decoding of the human genome sparked a revolution in how we understand human health and disease. The Broad Institute of MIT and Harvard was founded in 2004 to fulfill the promise of this revolution: to reveal the fundamental basis of disease and catalyze rational treatments. Key to the realization of the Broad's mission is the Connectivity Map (CMap) project.

Who we are and what we do

Our goals, methods and progress

Connectivity Map's Big Hairy Audacious Goal is to build a comprehensive lookup table describing the functions of all human genes and the effects on them of a broad range of small-molecule and genetic perturbations to accelerate both the understanding of human disease and the discovery of novel therapeutics. Our approach is to generate perturbational signatures of cellular states and build pattern-matching algorithms to identify relationships between them. Based at the Broad Institute campus in the dynamic biomedical hub of Kendall Square, the CMap group consists of ~30 scientists and scores of collaborators across the biomedical community who work together to apply cutting edge genomic technologies to propel therapeutic discovery.

It's a great time to join

You will join the CMap group at a critical juncture of its development. Successful proof of principle of the core technologies used in CMap has created a surge of interest in leveraging the resource's datasets, algorithms and software products for therapeutic discovery in academia and within pharmaceutical companies.

Are you a candidate?

We are looking for:

  • Associate Computational Biologists. Candidates with Bachelors or Masters in Bioinformatics, Computer Science, Engineering, Statistics, Physics or any quantitative discipline
  • Post-docs in Computational Biology. Recent graduates from doctoral programs in Bioinformatics, Computational Biology or Systems Biology
  • Visual Designers. Candidates with Bachelors or Masters in a design field (e.g., graphic design, information design, architecture, etc.) and work experience in a related industry (web design, data visualization, UI/UX)

Necessary experience

Candidates should have outstanding academic records; a demonstrated history of developing algorithms; demonstrated proficiency with statistical and programmatic tools needed for the exploration of high-dimensionality datasets; be innovative and analytical thinkers with strong communication skills; and work well in an inter-disciplinary team.

Significant experience with at least some of the following is required: Analytical programming using MATLAB, Python, R or other appropriate language, Computations methods, including algorithm development, data analysis and statistics; Implementing algorithms for search, information retrieval and machine learning. A background in biology is favorable, but not necessary, and well-qualified applicants will be considered from backgrounds including Engineering, Computational Biology, Statistics and Software Engineering.

What does the job entail?

Characteristic duties: Work directly with wet-lab biologists to identify and develop data-analysis strategies; Write algorithms and deploy computational tools for the exploration of high-dimensionality datasets; Conceive, implement and test statistical models; work with wet-lab researchers to translate these models into testable experiments; analyze data from experiments Explore novel data representation modes with emphasis on integrating diverse data types. Help implement analysis methodologies into software tools for publication and distribution to the genomics research community.

To apply, email or apply via the Broad careers website