Computational Biologist

Join to apply for the Computational Biologist role at Dana‑Farber Cancer Institute. The Dana‑Farber Cancer Institute seeks a Computational Biologist, under Jaclyn LoPiccolo, to work as a data scientist on the analysis of germline whole‑genome sequencing data of lung cancer patients as part of a large‑scale population genetics study of lung cancer, in order to advance our understanding of genetic risk for lung cancer and to advance efforts for clinical cancer prevention. The current emphasis is on young‑onset lung cancer (https://younglungstudy.org) and familial lung cancer (https://inheritstudy.org). These projects are the culmination of nationwide, remotely enrolling clinical protocols that involve integration of germline WGS and clinicopathologic as well as exposure data collected as part of each study. Primary Duties And Responsibilities Data Processing: Use existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Experience with Google Cloud and Terra platforms preferred. Data Analysis: Perform routine analysis using established, reliable tools; keep up with computational biology literature to ensure pipeline components remain current. Data and Software Management: Monitor, download, organize, and manage data from public repositories or collaborators; evaluate published tools and update pipelines as necessary. Tool and Infrastructure Development: Contribute to the generation of tools for manipulating, preparing, and displaying data; transfer data to external collaborators and repositories; help maintain, support, and document shared tools, codebases, and datasets. Manuscript Preparation: Draft the computational biology sections of manuscripts; assist in writing results sections; check numerical accuracy; prepare tables and figures. Grant Preparation: Help formulate specific aims, explain options for experimental design, and develop data analysis plans. Research Portfolio Management: Develop timelines and components for multiple routine projects; master multitasking to move complex projects forward smoothly. Team Interactions: Offer peer‑to‑peer training for new statisticians in design, analysis, and presentation of results; provide mentorship to junior members. Supervisor Responsibilities None. This position may involve peer‑to‑peer co‑mentoring of group members. Minimum Education Bachelor’s degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences. Minimum Job Qualifications Strong background in statistics and biology; formal training or research experience in genetics preferred. Experience managing and curating large datasets. Demonstrated personal initiative and ability to work effectively as part of a team. Effective collaboration across individuals with varying comfort levels toward computational biology; strong oral and written communication skills. Minimum Experience 1 year with Bachelor’s degree or 0 years with Master’s degree; academic research experience or authorship in scientific publications may substitute for work experience. Knowledge, Skills, and Abilities Required Computational Skills: Knowledge of UNIX/Linux; familiarity with scripting in Python and statistical programming in R. Data Analysis Skills: Familiarity with principles of experimental design and modern data analysis paradigms. Experience with Terra and/or Google Cloud platforms preferred. Experience with Linux‑based shell scripting and cloud computing. Collaboration: Discuss and present results; share ideas accurately and communicate effectively, both in writing and verbally. Supports collaborative efforts with Dana‑Farber Cancer Institute, the Broad Institute, and other institutions. Strong interpersonal skills; ability to effectively interact with all levels of staff and external contacts. Excellent analytical, organizational, and time‑management skills. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and the candidate’s relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $72,000 - $79,100. At Dana‑Farber Cancer Institute we work every day to create an innovative, caring, and inclusive environment… EEOC Poster 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… Seniority Level Entry level Employment Type Full‑time Job Function Research, Analyst, and Information Technology Industries Hospitals and Health Care #J-18808-Ljbffr