Postdoctoral Research Fellow

Mass General Brigham • Boston, MA

1d • Onsite

About The Position

The General Hospital Corporation Mass General Brigham is a not-for-profit organization supporting patient care, research, teaching, and community service, striving to provide exceptional care and drive groundbreaking medical discoveries. The Vazquez-Garcia Lab, affiliated with Massachusetts General Hospital, Harvard Medical School, and the Broad Institute, is seeking exceptional candidates for a postdoctoral position. The lab focuses on investigating the fundamental principles of somatic evolution and immune surveillance in cancer. This involves using data-driven approaches, combining AI/ML, single-cell genomics, and cellular imaging with large clinical datasets and experimental models to study cellular dynamics in tumors. The research aims to understand how genomic adaptations provide selective advantages to tumor cells, serve as biomarkers for therapeutic response and resistance, and sensitize tumors for targeted intervention. The ultimate goal is to impact human health and clinical care by leveraging insights into cancer trajectories to develop biomarkers and therapeutic strategies. The successful candidate will join a highly collaborative and interdisciplinary team in computational oncology, working on independent research projects and collaborating with colleagues across MGH, HMS, the Broad Institute, and other institutions. The role offers a vibrant scientific community and access to state-of-the-art computational resources and high-throughput genomics technologies.

Requirements

• Ph.D. (or near completion) in a relevant field such as Computational Biology, Computer Science, Physics, Mathematics, Statistics, or a related quantitative discipline.
• Demonstrated proficiency in Python, R and/or other scientific computing languages.
• Proven track record of productivity through peer-reviewed publications.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a collaborative team.
• Strong organizational skills and attention to detail.

Nice To Haves

• Proven experience working with high-dimensional, multi-modal omics data and clinical data.
• Strong background in advanced statistical modeling and/or modern machine learning approaches (e.g. transformers, foundation models, generative modeling, interpretable AI).
• Knowledge of cancer biology, immunology, or molecular biology.
• Familiarity with cloud computing and workflow management (e.g., Nextflow, Snakemake).
• Experience with version control and software engineering practices.
• Interest in contributing to open-source bioinformatics software.

Responsibilities

• Design, train, and evaluate cutting-edge AI and statistical models using large patient datasets.
• Build robust pipelines for large-scale data processing and benchmarking across modalities.
• Collaborate closely with cancer biologists, clinicians, and other computational researchers to generate testable hypotheses and interpret findings.
• Perform exploratory research in a fast-paced setting with the potential for real impact on patients.
• Contribute to the development of high-quality, reusable, open-source software.
• Publish research in top-tier journals and present at major conferences.
• Help foster a collaborative lab environment by advising and supporting junior team members.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees