RESPONSIBILITIES

To play a central role in a group using functional genomic and computational approaches to investigate the perturbed cellular pathways and putative targets linked to genetic alterations in human tumors and cancer model systems. This interdisciplinary team has generated large genomic datasets spanning thousands of tumors and is applying cutting-edge statistical and computational approaches to characterize and annotate the genetic/molecular changes that underlie different types of cancer. Will develop algorithms to mine datasets, generate and test biological hypotheses based on the data, and design software that facilitates integrative analysis that will be made widely available to the scientific community. Duties include conducting research to solve complex computational and mathematical problems; collaborating with other researchers to develop software-based computational methods and tools to support research goals; collaborating with others to analyze results and address complex computational problems, consulting literature or others from the scientific community as needed, and adjusting tool and method designs as necessary; interacting with laboratory researchers to complete research goals; and providing statistical and computational expertise.

REQUIREMENTS

A Ph.D. in computer science, engineering, physics, mathematics, bioinformatics, or relevant scientific discipline, preferably in a quantitative discipline (e.g., mathematics, engineering, or physics); or a Ph.D. in the biological sciences with a strong quantitative background. Rigorous knowledge of programming required, preferably MATLAB and UNIX experience. Extensive programming ability, a solid quantitative background, and knowledge of biology essential. An understanding of machine learning techniques a plus. Seek highly self-motivated individual who is enthusiastic about scientific discovery and able to collaborate closely and effectively with other members of a research team.

TERMS:
o Be Determined

LOCALE:
Cambridge, MA

COMPENSATION:
To Be Determined

HOW TO APPLY:
Interested applicants may apply online at http://www.broad.mit.edu/info/careers/ and reference job number: MIT-00004396 E.O.E.

PROFILE:
The Broad Institute was founded to empower scientists of all kinds to work together on difficult, diverse, critical genomic and biomedical challenges. The Institute is a unique collaboration between the MIT and Harvard academic and medical communities, and it offers the security and benefits provided to all MIT employees, including:

Competitive pay
Medical, dental, life insurance plans
401(k) plan with matching contributions
Tuition assistance plan
Four weeks of vacation after one year
T-Pass subsidy program
Athletic and fitness centers
Child care services

Join a team that works the way you've always wanted to work.

DEADLINE:
None