Computational Biologist II

The Dana-Farber Cancer Institute seeks a Computational Biologist, to work as a data scientist on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine.

The qualified candidate will develop and support data processing and analysis tools, create new algorithms for emerging clinically focused needs, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.

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.

• Prospective clinical sequencing to guide the care of cancer patients
• Studies of resistance to existing and emerging cancer therapies using patient-derived data
• Studies of patient samples for tumor behavior and clinical outcomes
• Studies of cancer immunotherapies to develop predictors of response
• These projects can be collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and multiple other institutions. The goals of this initiative consist of analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior, both retrospectively and prospectively.
• These new data could help identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses.
• The person hired for this position will join the team in this effort, and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data.
• This person will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code base, and data sets
• As the software infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

Programming experience including but not limited to: R, Python, etc

New languages are required to be learned as field evolves

MINIMUM JOB QUALIFICATIONS:

The position requires a bachelor's degree or M.S., with 2-4 years of related experience. Candidates should have developing technical expertise and the ability to apply organizational policies and procedures to address various issues. The role involves analyzing moderately complex problems, exercising judgment within established guidelines, and building effective internal and external working relationships.

SUPERVISORY RESPONSIBILITIES:

This position will involve co-mentoring of students joining the group as described above, with opportunities for growth in developing multi-disciplinary teams that are project oriented.

PATIENT CONTACT:

None