Postdoctoral Associate

Overview

The Getz Lab (at the Broad Institute and MGH) is a world-leading laboratory for cancer genome analysis. We develop highly innovative, robust, and widely-used computational methods to study the molecular basis of cancer, including genomic alterations that drive primary and resistant tumors, cell-of-origin, premalignant lesions, mutational processes, activity of different pathways, and microenvironmental changes. Data are then followed up experimentally, converting discoveries into patient benefit and advancing personalized medicine.

Our work stands at the forefront of cancer genome science and is regularly published in top‑tier journals. Visit us .

The lab is built upon an interdisciplinary group of scientists, engineers, and clinicians who collaborate in a respectful, supportive environment. Ideas are freely shared and contributions are highly valued. Dr. Getz prioritizes mentoring postdoctoral trainees, providing frequent educational and skill‑building opportunities through the Broad Institute and MGH.

We are seeking a highly motivated researcher to be the computational analysis lead for projects exploring the mechanisms underlying disease initiation, progression and/or relapse in multiple myeloma. These projects will be conducted in close collaboration with Dr. Irene Ghobrial’s lab at DFCI.

As a member of our team, you will collaborate with other scientists, engineers, and clinicians in a collegial environment focused on intellectual rigor. We offer mentoring, peer support, and many educational opportunities (floor talks, meetings, boot camps, journal clubs, conferences) to help you grow and discover answers to challenging questions in cancer.

• Play a lead role in designing and executing data analysis strategies to support research projects.
• 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 response to therapy.
• Conceive, implement, and test statistical models; analyze data from experiments.
• Present results to a variety of audiences, including non‑computational researchers.
• Prepare written reports (manuscripts, grants, patents) and presentations for meetings.
• Opportunity to teach and mentor junior team members.

• A PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
• Fast learner, analytical thinker, creative, "hands‑on", team‑player.
• Experience with computational analysis, algorithm development, and statistics.
• Proficiency in at least one modern programming language. Experience with a scientific programming environment (Python, R, or Matlab) is preferred.
• Strong communication skills.
• Background in machine learning or biology is a plus.
• Knowledge of cancer genomics is a plus but is NOT required. Inclination to acquire such knowledge is imperative.

The expected base salary range for this position is based on a 40‑hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including relevant skills, experience, education, and qualifications.

At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.

The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting for assistance.