Postdoctoral Associate - The Getz Lab

About the Lab

The Getz Lab, based at the Broad Institute and Massachusetts General Hospital (MGH), is a world-leading laboratory for cancer genome analysis. We develop innovative, robust, and widely-used computational methods to study the molecular basis of cancer, including genomic alterations driving primary and resistant tumors, cell-of-origin, premalignant lesions, mutational processes, pathway activity, and microenvironmental changes. Key findings are followed up experimentally. Our research is at the forefront of cancer genome science and is regularly published in top-tier journals.

We are an interdisciplinary group of scientists, engineers, and clinicians working in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. Dr. Getz prioritizes mentoring postdoctoral trainees to achieve their career goals, with frequent educational and skill-building opportunities provided by the lab, Broad Institute, and MGH. The lab is integrated into the Boston-area ecosystem and the global cancer research community, offering a vibrant environment for impactful contributions.

About the Role

We are seeking a highly motivated postdoctoral researcher to serve as the computational analysis lead for projects exploring mechanisms underlying disease initiation, progression, and relapse in multiple myeloma. The successful candidate will take primary leadership in analyzing spatial multi-omics data (e.g., spatial transcriptomics, single-cell spatial proteomics, digital pathology) within ongoing projects studying multiple myeloma patient cohorts, in close collaboration with Dr. Irene Ghobrial’s lab at DFCI.

As part of our team, you will collaborate with scientists, engineers, and clinicians in a collegial environment emphasizing intellectual rigor. The lab fosters deep innovation, out-of-the-box thinking, and creative problem-solving. Mentoring, peer support, and educational opportunities (e.g., floor talks, meetings, boot camps, journal clubs, conferences) will help you develop core competencies for your career.

Responsibilities

• Play a lead role in designing and executing data analysis strategies, particularly for spatial multi-omics data.
• Drive the project’s scientific vision, identify key biological questions, and spearhead computational strategies.
• Explore and develop tools for analyzing novel data types.
• Develop new spatial and genomic analysis methodologies for integrating data and predicting tumor outcomes, subtypes, molecular mechanisms, and therapy response.
• Conceive, implement, and test statistical models; analyze experimental data.
• Present results to diverse audiences, including non-computational researchers.
• Prepare written reports (e.g., manuscripts, grants, patents) and presentations for meetings.
• Opportunity to teach and mentor junior team members.

Requirements

• PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
• 0-1+ years of post-graduate experience.
• Experience with computational analysis, algorithm development, and statistics.
• Hands-on experience analyzing spatial multi-omic data; experience with other emerging technologies is a plus.
• Familiarity with bioinformatic analyses, including single-cell RNA sequencing (scRNA-seq), immune BCR/TCR sequencing, and bulk/single-cell whole-genome sequencing (WGS).
• Proficiency in at least one modern programming language (e.g., Python, R, or Matlab).
• Demonstrated experience conducting rigorous and reproducible research in a fast-paced environment.
• Highly collaborative, with the ability to work alongside bioinformaticians, wet-lab experimentalists, and clinicians.
• Strong oral and written communication skills.
• Fast learner, analytical thinker, creative, hands-on, and team-oriented.

Preferred Qualifications

• Background in machine learning or biology.
• Knowledge of cancer genomics (not required but a plus).
• Inclination to acquire cancer genomics knowledge.

Pay

The expected base pay range for this position is $70,000.00/yr - $92,666.67/yr, based on a 40-hour workweek. Actual compensation will vary based on skills, experience, education, and other factors permissible by law. The Broad Institute offers a comprehensive total rewards package, including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; paid holidays, winter closure, and paid time off; parental and family care leave; and an employee assistance program.