"Computational Biologist ? Collins Genomics Lab"

The Collins Genomics Lab at the Dana-Farber Cancer Institute (labs.dana-farber.org/collins-genomics) seeks a motivated Computational Biologist to advance research at the intersection of germline genetics, cancer genomics, and precision cancer prevention. The successful candidate will analyze large-scale genomic datasets to uncover inherited risk factors for cancer, understand their consequences in tumorigenesis, and develop computational tools that bridge research and clinical applications.

This role offers the opportunity to contribute to high-impact studies aimed at improving early detection, prevention, and risk stratification across cancer types. The position is part of a collaborative environment spanning Dana-Farber, the Broad Institute, and other leading institutions.

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.

• Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization
• Data Analysis: Performs routine analysis for which established tools exist and are considered reliable. Keep up with the computational biology literature to assure pipelines components are up to date
• Data and Software Management: Monitors, downloads, organize, and manages data from public data repositories or generated by collaborates. Evaluate published tools and updates pipeline as necessary.
• Manuscript Preparation: Drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures
• Grant Preparation: Helps to formulate specific aims, explains options for experimental design, and develops data analysis plans
• Research Portfolio Management: Develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly
• Team interactions: Offers peer-to-peer training for new statisticians in design, analysis, and presentation of results. It is expected that insight into career growth will be offered to more junior statisticians

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Computational Skills: Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R
• Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required
• Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally
• Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts
• Excellent analytical, organizational and time management skills

MINIMUM JOB QUALIFICATIONS:

The position requires a bachelor's degree in a STEM field, with a master's degree in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences preferred. Candidates need at least 1 year of experience with a bachelor's degree or no experience with a master's degree, with academic research or authorship in scientific publications potentially substituting for work experience.

SUPERVISORY RESPONSIBILITIES: None

PATIENT CONTACT: None