Career Center

The Department of Data Science at the Dana-Farber Cancer Institute is conducting a search for Computational Biologists. This person(s) will collaborate with medical and basic science researchers and fellow computational biologists in study design, development of bioinformatic pipelines and analysis modules for the analysis and publication of high-throughput omic data from cancer studies including Phase I / II or III clinical trials and basic cancer research.

The Department of Data Science at Dana-Farber Cancer Institute is aimed at driving cancer research through innovation and collaboration in the quantitative sciences. The department is unified by a commitment to improving cancer care through data-driven approaches. We strive to understand the biology of cancer, test the efficacy of treatments and extract knowledge from complex datasets.

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 underserved members of our community; and??we??work??with amazing partners, including other Harvard Medical School-affiliated hospitals.

The ideal candidate will have formal training and experience in analysis of high-throughput data using statistical or machine learning methods, and strong programming skills. Projects may include:

• Development and maintenance of computational pipelines using publicly available and in-house developed tools for the analysis of patient data
• Combined analysis of data from public repositories such as the The Cancer Genome Atlas project (TCGA), Genotype-Tissue EXpression (GTEx) and Cancer Cell Line Encyclopedia (CCLE) with data generated in-house for on-trial patients
• Responsible for statistical aspects of study/experiment design, identification of appropriate tests and models, data analysis and visualization, assuring quality of data
• Follows best practices for developing and maintaining reproducible bioinformatics pipelines and analysis including but not limited to extensive documentation, source code versioning/management using git, using reproducible compute environment such as Docker etc.
• Contribute to clinical and scientific reports, grants, progress reports, publications, and presentations at scientific conferences

• Bachelor???s degree in STEM field or Master's degree in bioinformatics, computational biology, computer science, and/or life science
• Demonstrated experience in bioinformatics pipeline development and analysis in at least one of the following domains: single cell genomics, WGS, WES, ChIP-seq, ATAC-seq, RNA-seq, bulk RNA, multi-omics.
• Good practical knowledge of statistics / biostatistics proven by statistics/biostatistics coursework and/or previous job experience.
• Experience developing algorithms and proficiency in coding (C/C++, Perl, Python, JAVA, Scala or equivalent).
• Experience in data analysis languages/environments (R or equivalent, Unix/Linux environment).
• Excellent oral and written communication skills.
• Prior knowledge of cancer biology or immunology is a plus.
• Software development experience is desirable 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.