Post Doc Research Fellow Lab

Site: The General Hospital Corporation

Mass General Brigham is a not‑for‑profit organization that supports patient care, research, teaching, and community service, striving to provide exceptional care. High‑performing teams drive groundbreaking medical discoveries, and we invite applicants to join our wide range of professionals.

Job Summary
The Vazquez‑Garcia Lab, part of Massachusetts General Hospital, Harvard Medical School, and the Broad Institute, seeks exceptional candidates for a postdoctoral position in our interdisciplinary team. Our lab investigates the fundamental principles of somatic evolution and immune surveillance in cancer, using data‑driven approaches to study cellular dynamics in tumors by combining AI/ML, single‑cell genomics, and cellular imaging with large clinical datasets and experimental models.

We aim to understand how genomic adaptations confer selective advantages to tumor cells, act as biomarkers of therapeutic response and resistance, and enable targeted interventions. The ultimate goal is to impact human health and clinical care by leveraging insights into cancer trajectories to develop predictive biomarkers and therapeutic strategies that anticipate and overcome tumor progression.

As a postdoctoral researcher you will work in a highly collaborative and interdisciplinary group with partners across MGH, HMS, the Broad Institute, and other institutions. You will conduct independent research projects and collaborate closely with cancer biologists, clinicians, and computational researchers.

Main 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.

Develop high‑quality, reusable, open‑source software.

Publish research in top‑tier journals and present at major conferences.

Mentor and support junior team members.

Minimum Qualifications

Ph.D. (or near completion) in a relevant field such as Computational Biology, Computer Science, Physics, Mathematics, Statistics, or a related quantitative discipline.

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.

Preferred Experience

Experience with high‑dimensional, multi‑modal omics data and clinical data.

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.

Remote Type: Onsite

Work Location: 149 Thirteenth Street, Building 149

EEO Statement
1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at View phone number on click.appcast.io.

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