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Broad Institute

Genomic research center advancing disease understanding

Computational Associate 1

Life Sciences ResearchConfirmed live in the last 24 hours
Full-timeCambridge, MA, USANo salary listedIn-person

About the Job

Requirements

  • Be at least a current undergraduate senior with an expected graduation date of Summer 2027 or earlier.
  • Major in computational biology, mathematics, statistics, physics, bioinformatics, computer science, or a similar field.
  • Have at least one year of undergraduate independent research experience outside of coursework.
  • Have strong programming skills and experience with programming languages, preferably Python or R.
  • Commit to staying with the Broad for at least two years.
  • Have at least 24 months of Optional Practical Training eligibility for the Computational Associate I role.

Responsibilities

  • Write and refine scripts to process and analyze large datasets while developing new ways to explore data.
  • Conceive, implement, and test statistical models.
  • Contribute to the development and improvement of analytical tools.
  • Interface and collaborate with scientists, clinicians, experimental experts at the Broad, and external partners.
  • Troubleshoot problems with support from a mentor and resolve issues to ensure data quality control.
  • Join regular lab meetings, contribute to team discussions, support broader research goals, and potentially contribute to publications.

Desired Qualifications

  • Experience with Python or R programming languages.

About the Company

Broad Institute

Genomic research center advancing disease understanding

What Broad Institute does: The Broad Institute conducts biomedical and genomic research to understand and treat diseases, focusing on genetic and molecular approaches. How its products work: It runs large collaborative research projects, analyzes genetic data, and develops educational tools and resources (including pandemic simulations and STEM materials) that are shared with researchers, schools, and educators. How it differs from competitors: It combines multidisciplinary collaboration with access to large-scale genomic datasets and a mix of government grants, philanthropy, industry partnerships, and intellectual property licensing to accelerate discovery, often working across academia, industry, and education sectors. What its goal is: To advance human biology and disease knowledge, translate genetic insights into diagnostics and therapies, and improve education in science and biomedical research.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$182.5M
Headquarters
Cambridge, MA
Founded
2003

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