BACKGROUND

This position has been created in conjunction with our 2012-13 on-campus recruitment strategy. We regularly recruit at some of the finest colleges and universities, including Harvard and MIT, but we seek extraordinary talent from all schools. If you are interested in this entry level role with the Broad Institute, we encourage you to apply today.

Are you interested in working on an interdisciplinary team of Harvard & MIT scientists, who are working to revolutionize the way we do cancer research?

Are you intrigued by using your coding skills to develop tools to identify meaningful patterns in the large amounts of data that are generated in cutting-edge genomics research projects?

Would you enjoy converting unanswered biomedical research questions into mathematical problems, and developing machine learning methods to solve them?

The Broad Institute of MIT & Harvard is looking to hire four exceptional candidates to join the Cancer Program's Computational Analysis efforts. The successful candidates will join an interdisciplinary team of bioinformatics analysts, software engineers, genome biologists and clinicians who are working together to identify mutations that lead to cancer, and discover new cancer therapeutics.

We are looking for individuals who are enthusiastic about taking a hands-on, problem-solving approach, and collaborating with engineers and scientist in an informal collegial work environment that is infused with intellectual rigor. The right candidates will have outstanding academic records and strong communication skills, will demonstrate innovative and analytical thinking, and will enjoy working in an interdisciplinary team.

The Broad Institute provides a vibrant research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston. Working in the Broad's Cancer Program provides the potential for your contributions to be utilized and recognized across the vast global network of researchers in the field of cancer genomics.

Characteristic Duties:

Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of large cancer and sequencing data sets
Conceive, implement and test statistical models; work with wet-lab researchers to translate these models into testable experiments; analyze the data produced from these experiments
Explore novel data visualization tools, with emphasis on integrating diverse data types
Implement algorithms as software for distribution to the global cancer research community

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