Postdoctoral Associate - The Getz Lab

Broad Institute • Cambridge, MA

4d • $70,000 - $92,667 • Onsite

About The Position

The Getz Lab at the Broad Institute and Massachusetts General Hospital develops computational methods to study the molecular basis of cancer and follows up important findings experimentally. The lab is an interdisciplinary, collaborative research environment that emphasizes mentoring, intellectual rigor, and opportunities for learning and professional development.

The postdoctoral associate will lead development of an AI-driven prediction model for multiple myeloma (MM), integrating multimodal data such as whole-genome sequencing, single-cell transcriptomics, immune profiling, and clinical information to identify patients likely to respond or become resistant to therapy. The work is planned for two years, with potential follow-on work, and will be conducted in close collaboration with Dr. Irene Ghobrial’s laboratory at Dana-Farber Cancer Institute. The research spans computational biology, machine learning, and clinical research, with the goal of improving understanding of disease progression, therapeutic response, and resistance and supporting precision treatment selection.

The successful candidate will bring computational and statistical expertise and enthusiasm for learning. They will work alongside scientists, engineers, and clinicians, with mentoring and educational opportunities, and may teach and mentor junior team members.

Requirements

• PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
• Demonstrated experience developing and validating machine learning models.
• Experience with computational analysis, algorithm development, and statistics.
• Proficiency in at least one modern programming language.
• Ability to collaborate on projects with bioinformaticians, wet-lab experimentalists, and clinicians.
• Demonstrated experience conducting rigorous and reproducible research in a fast-paced environment.
• Strong oral and written communication skills.

Nice To Haves

• Experience with a scientific programming environment such as Python, R, or Matlab.
• Prior experience applying AI/ML methods in cancer.
• Knowledge of cancer genomics; this is not required, but willingness to acquire such knowledge is imperative.
• Being a fast learner, analytical thinker, creative, hands-on, and a team player.

Responsibilities

• Lead the design and execution of data-analysis strategies for research projects, especially the development of AI-driven prediction models for multiple myeloma.
• Explore and help design tools for analyzing novel data types.
• Conceive, implement, and test statistical models, and analyze experimental data.
• Present results to a variety of audiences, including non-computational researchers.
• Prepare written reports, including manuscripts, grants, and patents, and prepare presentations for meetings.
• Have the opportunity to teach and mentor junior team members.

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: Senior
• Education Level: Ph.D. or professional degree