Dr. Franziska Michors lab at the Dana-Farber Cancer Institute and Harvard University is looking for a motivated Associate Computational Biologist to work full time on the Cancer Immunologic Data Commons (CIDC) project. CIDC is the data coordination and distribution center for the NCI-sponsored Cancer Moonshot initiative called the ImmunoOncology Biomarkers Network (https://cimac-network.org/). CIDC collects and processes data from four centers nationwide: Dana-Farber Cancer Institute Icahn School of Medicine at Mount Sinai MD Anderson Cancer Center and Stanford University. Dr. Michors group is responsible for supporting the bioinformatics analysis for the clinical trials from the network. The successful candidate will address methodological and computational challenges related to the integrative analyses of a variety of data types including CyTOF whole-exome sequencing RNA-sequencing TCR-sequencing ATAC-sequencing and imaging-based data types.

Opportunities

• Opportunity to learn bioinformatics in a friendly environment.
• Opportunity to be involved in cross-trial analysis and to have an impact on cancer immunotherapy.
• Opportunity to contribute to software projects that will help a broad community of cancer researchers find better ways to treat cancer.
• Opportunity to work in an interdisciplinary environment with cancer epigenetics immunology computational biology and machine learning experts.
• Opportunity to work closely with the software engineer team in the Knowledge Systems Group (KSG) at DFCI.

Who Should Apply?

• BSc or MSc graduates in Computer Science Informatics Mathematics Statistics Physics Engineering Chemistry/Chemical Sciences or Biological Sciences with an interest in Biomedical Data Science.
• Students taking gap years (>= 2 years) to accumulate computational biology research experience towards future Ph.D. or MD applications.
• People with programming skills along with an interest in cancer genomics and a willingness to learn.

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.

• Undergraduate or master's degree in a quantitative field.
• Experience developing software or analyzing data using Python or R.
• Experience in web development or computational pipeline development in both cluster and cloud environments are preferred.
• Prior genomics or bioinformatics research experience is a plus but not required.

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.