The Department of Data Science and the Translational Immunogenomics Lab (TIGL) within the Dana-Farber Center for Immuno-oncology are seeking a highly motivated and skilled computational individual who will work within an interdisciplinary team comprising computational scientists data scientists bioinformaticians physicians and biomedical scientists on developing analytical pipelines for personalized neoantigen vaccine (NeoVax) trials ongoing in the Center for Personalized Cancer Vaccines (CPCV) at Dana-Farber Cancer Institute.

We are currently seeking a Computational Biologist with formal background in bioinformatics computational biology computer science mathematics physics or statistics to support our ongoing NeoVax trials by supporting our existing analytical pipeline and developing new capabilities. The analyst will also assist in the analysis and interpretation of actual patient data as they accrue on our various trials. The position will entail interfacing with oncologists immunologists and computational biologists within Dana-Farber and the Broad 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 underserved members of our community; and we work with amazing partners including other Harvard Medical School-affiliated hospitals.

Projects may include:

• Creation and maintenance of computational pipelines using publicly available and locally developed tools for analysis of patient data
• Combined analysis of data from 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
• Creation of pipelines for interpreting data from single-cell RNA-Seq experiments
• Computational and statistical analysis of cancer genome and transcriptome sequencing studies
• Packaging of tools using the Docker and Conda applications

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. Additional qualifications include:

• Highly motivated and skilled individuals with a Master's or Bachelor's degree in bioinformatics computational biology computer science mathematics physics computer science or engineering or comparable research or industrial experience.
• Ability to apply statistical and machine learning techniques to solve big data problems.
• Experience developing algorithms and proficiency in coding (C/C++ Perl Python JAVA Scala or equivalent).
• Significant experience in data analysis languages/environments (R MATLAB or equivalent) with a desire to focus on applications in computational biology.
• Ability to work in a highly collaborative multidisciplinary and intellectually challenging environment including excellent oral and written communication skills to conduct both self-directed and guided computational research.
• Must be comfortable in an academic environment where interdisciplinary teams are central to project success.
• Prior knowledge of cancer biology or immunology and/or software development is a plus.

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 groups as protected by law.