Dana-Farber Cancer Institute-posted 3 months ago
Full-time • Entry Level
Boston, MA
5,001-10,000 employees

The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets towards the ultimate goal of advancing clinical capabilities for early detection of cancer. As Dr. Collins is deeply embedded in population genomics and cancer genetics research communities throughout the greater Boston area, our research effort includes collaborative work with the faculty members at Dana-Farber, the Broad Institute, and other institutions on cancer risk, risk mitigation, early detection, prevention, patient outcomes, and tumor evolution. The Collins Genomics Lab is an interdisciplinary and highly collaborative laboratory with diverse scientists from various scientific domains leading exciting cancer research. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

  • Statistical analyses of large germline genomic datasets to discover new genetic risk factors for a variety of cancers, with a special focus on early-onset and/or aggressive disease
  • Studies to integrate germline and somatic genomics to define the influence of inherited genetics on tumor evolution
  • Development and application of new computational methods to jointly analyze germline genetics with multi-modal datasets derived from clinically recruited cancer patient populations to improve the interpretation of genomic variants for cancer risk, prevention, and early detection
  • Participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data
  • Help with the generation of tools needed for manipulating and preparing data for display
  • Transfer data to external collaborators and data repositories
  • Maintain, support, and document shared tools, code base, and data sets
  • A Ph.D. in bioinformatics, genetics, statistics, computer science, or a comparably quantitative discipline (e.g., mathematics, physics), or comparable research experience
  • Significant experience in computer programming and computational biological applications
  • A strong background in statistics and biology
  • Formal training and/or research experience in genomics is preferred
  • Experience managing and curating large datasets is also desired
  • Excellent oral and written communication skills
  • Ability to perform both self-directed and guided research
  • Outstanding personal initiative and the ability to work effectively as part of a team
  • Ability to meet deadlines and efficiently multitask
  • Ability to effectively collaborate across a range of individuals with different comfort toward computational biology
  • Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the community
  • Cancer biology background
  • Experience in R and/or Python is preferred
  • Experience with Linux-based shell scripting and cloud computing
  • Willingness to learn new languages and tools as the field grows
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