Postdoctoral Associate - GaMBiT Initiative

Broad Institute • Cambridge, MA

5d • Onsite

About The Position

The Klarman Fellowship is a postdoctoral research program within the GaMBiT Initiative at the Broad Institute of MIT and Harvard. The initiative aims to bridge the gap between genetic discoveries and therapeutic interventions by systematizing and scaling experiments that identify disease mechanisms, biomarkers, and actionable therapeutic approaches, while developing computational frameworks that connect human genetics data with experimental findings.

Postdoctoral associates will work on research germane to developing and applying novel technologies that convert disease-associated genetic variants into precise causal mechanisms, measurable biomarkers, and therapeutic leads. Both computational and experimental fellows are sought across areas including statistical and computational genetics, cellular and organismal biology, immunology, metabolomics, proteomics, protein structure, and chemistry. Associates will be based at the Broad Institute and work with a mentor or co-mentors from Broad-, MIT-, or Harvard-affiliated faculty.

The appointment is for one year, beginning on or after January 1, 2027, or on another mutually agreed date, with the possibility of renewal for a second year based on satisfactory performance. Completed application review begins on a rolling basis after September 30, 2026. Visa sponsorship is available.

Requirements

• Be within one year of completing or having completed a Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, Biochemistry, Immunology, Chemical or Molecular Biology, or have strong knowledge of a variety of biological research areas.
• Have strong analytical and written communication skills, including the ability to describe scientific material effectively to specialized and lay audiences.
• Be able to work effectively in an interdisciplinary environment.
• Commit to participating in GaMBiT Initiative activities.

Responsibilities

• Build large-scale analyses across siloed biobanks and integrate data across studies to create genome maps of disease.
• Develop tools that enable experimentalists to access comprehensive genome information for each disease.
• Build AI agents that integrate and interpret genetic data with biological knowledge from the literature.
• Develop scalable approaches for editing any human cell type.
• Profile proteins, regulatory elements, metabolites, and molecular interactions within single cells.
• Develop human genetics-derived cellular models and organoids from patient tissues and apply disease-specific perturbations.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) retirement plan
• Flexible spending and health savings accounts
• At least 13 paid holidays
• Winter closure
• Paid time off
• Parental and family care leave
• Employee assistance program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree