We are seeking highly motivated and skilled computational individuals 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. The position with formally be in the Translational Immunogenomics Lab (TIGL) within the Center for Immuno-oncology. 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.

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:

• 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 and single cell TCR-sequencing experiments
• Analysis of spatial transcriptomics data
• Computational and statistical analysis of cancer genome and transcriptome sequencing studies
• Packaging of tools using the Docker and Conda applications

• 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 thrive in an academic/professional atmosphere, where interdisciplinary teams are central to project success. 
• 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.