The Broad Institute of MIT & Harvard, a world leader in cancer genome research, is looking for exceptional candidates to join the Cancer Genome Analysis group. The successful candidates will join an interdisciplinary team of computational biologists, bioinformatics analysts, software engineers, cancer genome biologists and clinicians who are working together to identify mutations that lead to cancer, and discover new cancer therapeutics.
The candidate will join the Cancer Genome Analysis group to develop computational tools and lead the data analysis for projects related to cancer. Projects will include computational and statistical analysis of sequencing studies, contributing technically and logistically with existing collaborators to international consortia, statistical methods development and analysis of cancer sequence data, and the integration of genetic variation and gene expression data into pathway network analysis. Specifically, as part of The Cancer Genome Atlas project, the successful candidate will work closely with the project leadership team to translate the overall research aims into analytical deliverables and strategies. Must thrive in an academic/professional atmosphere, where interdisciplinary teams are central to project success.
• Actively lead the data analysis for a set of genomics projects related to cancer, for example The Cancer Genome Atlas project.
• Design and implement novel computational and statistical approaches and frameworks to analyze and interpret cancer data sets.
• Work closely with Project Managers to ensure analytical activities are within scope, timeline and reach the overall aims of the collaboration.
• Regularly communicate accomplishments and progress at project team meetings.
• Proactively communicate with data analysis groups to help ensure analytical goals are achieved.
• Coordinates and interacts closely with other scientists on data quality and file management; implements these formats and metrics for project data.
• Directly involved in the genetic interpretation and application of results from cancer genome data.
• Actively participates in the preparation of manuscripts for publication, scholarly reports and presents at scientific conferences.
• Provides input to staffing of project teams.
• Assists in the mentorship of post-doctoral staff and graduate students. Shares expertise, provides training and guidance as needed.
• Participates within a team of scientists to foster a culture of scientific excellence.
• May supervise 1-2 junior analytical staff members.
• A Ph.D. in Genetics, Biostatistics, Genomics, Computational Biology, or a related field.
• A minimum 3 years of directly related research experience, and a commensurate publication record.
• Demonstrated experience working on high-profile international collaborations with complex goals and timelines.
• Experience in designing and analyzing experiments using next-generation sequencing technologies.
• Advanced statistical and computational data analysis experience required (R, Python or Matlab)
• Strong programming experience and algorithm design required (Java, Scala, C++/C#, Python).
• Knowledge of machine learning is a strong plus.
• Excellent problem solving, interpersonal, and written and verbal communication skills.
• Ability to deal with and adjust to a rapidly changing and high-demand environment required.
• Must be flexible and capable of self-directed research within broader goals set by the Program leadership and able to work effectively as part of a team.
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