Job Description

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.

We seek an enthusiastic and highly motivated bioinformatics associate to join our cancer genomics research group. This individual will join oncologists, computational biologists and research scientists on our effort aimed at studying the causes and consequences of cancer. This position will provide ample opportunities for professional development and the acquisition of cutting-edge skills in basic and translational cancer genomics research, research planning and strategy, and data analysis and interpretation.

• This individual will analyze cancer genomic data generated at Dana Farber and elsewhere using software tools within our team and by generating their own statistical analysis code.
• This individual will work closely with one or more post-doctoral fellows to study alterations in cancer somatic genomes, germline genomes, and microbiomes.
• Performs computational analysis of next generation sequencing data, somatic copy number alterations, expression profiling, and biological pathways using in house algorithms.
• Generates own code to conduct various other statistical analyses including those to discover relationships between cancer alterations and clinical correlates. 
• Presents data at project team meetings. 
• Assists in drafting of scientific manuscripts.
• This employee will be located at both the Dana-Farber Longwood Medical Area campus and at the Broad Institute in Cambridge.

• Required: B.S./B.A. or M.S./M.A in the life sciences, physical sciences, or computational sciences. Some coding knowledge of either R, Matlab, and/or python. The ability to work in teams, excellent communication and data presentation skills.
• Preferred: Background in molecular genetic data. Understanding of statistical methods and working in cloud computing and UNIX environments.

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.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

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About Dana-Farber Cancer Institute

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to under-served members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

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