Computational Biologist – Collins Genomics Lab

Overview

The Collins Genomics Lab at the Dana-Farber Cancer Institute 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:
  Use existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization.
• Data Analysis:
  Perform routine analysis for which established tools exist and are considered reliable. Keep up with the computational biology literature to assure pipeline components are up to date.
• Data and Software Management:
  Monitor, download, organize, and manage data from public data repositories or generated by collaborators. Evaluate published tools and update pipelines as necessary.
• Manuscript Preparation:
  Draft the computational biology sections of a manuscript; assist in writing the results section; check manuscripts for numerical accuracy; prepare tables and figures.
• Grant Preparation:
  Help to formulate specific aims, explain options for experimental design, and develop data analysis plans.
• Research Portfolio Management:
  Develop timelines and components for multiple routine projects; manage multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly.
• Team Interactions:
  Offer 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.

• 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 modern data analysis paradigms.
• 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.

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

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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we.

If working in this kind of organization inspires you, we encourage you to apply.

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 characteristics protected by law.

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 based on the…