This position is in the Liu lab within the Center for Population Sciencesto 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.

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.

At Dana-Farber Cancer Institute we work every day to create an innovative caring and inclusive environment where every patient family and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals neither do we. If working in this kind of organization inspires you we encourage you to apply.

• A B.S. or M.S. in bioinformatics mathematical physical or computer science or comparable research experience together with significant experience in computer programming and computational biological applications.
• A strong background in statistics and biology. Experience managing and curating large datasets and with machine learning techniques desired.
• Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required.
• Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team.
• Ability to meet deadlines and efficiently multitask is a must.
• Ability to effectively collaborate across a range of individuals with different comfort toward computational biology including oral and written communication skills
• Ability to seek out mentorship and assistance as needed while also being a mentor to other members of the community.