Postdoctoral in Computational Genomics: The Yu Lab at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking one to two highly motivated Postdoctoral Fellows. The lab develops and applies cutting-edge computational, statistical, and machine-learning methods to large-scale multi-omics and multimodal biomedical data to understand mechanisms and identify interventions for cardiovascular and age-related diseases. This position offers an outstanding opportunity to work in a world-class research environment with access to rich datasets, strong mentorship, and excellent career development support.
Postdoctoral Fellow Position in Computational Genomics & Multi-Omics(Massachusetts General Hospital & Broad Institute of MIT and Harvard)
Summary Table
| Item | Details |
|---|---|
| Position | Postdoctoral Fellow |
| Institution | Massachusetts General Hospital & Broad Institute of MIT and Harvard |
| Lab | Yu Lab |
| Research Focus | Multi-omics, Machine Learning, Cardiovascular & Age-related Diseases |
| Employment Type | Full-time, Postdoctoral |
| Location | Boston, Massachusetts, USA |
| Salary | Competitive (commensurate with experience) |
Designation
Postdoctoral Fellow
Research Area
The successful candidate will work on one or more of the following research areas, depending on interests:
- Clonal Hematopoiesis & Age-Related Disease
Studying how age-related somatic mutations—particularly clonal hematopoiesis (CH)—contribute to disease development and progression. - Machine Learning & Multimodal Data Integration
Applying machine-learning approaches to imaging, clinical notes, and clinical data, and integrating them with multi-omics datasets to uncover novel biological insights. - Multi-Omics Methods Development
Developing new computational and statistical methods to address fundamental challenges in multi-omics data, such as cross-platform concordance (e.g., proteomics), data harmonization, and improved measurement precision.
Location
Boston, Massachusetts, USA
(Massachusetts General Hospital & Broad Institute of MIT and Harvard)
Eligibility / Qualification
- PhD (completed or near completion) in a quantitative field such as:
- Biostatistics
- Bioinformatics
- Computational Biology
- Biomedical Engineering
- Genetic Epidemiology
- or a closely related discipline
- Strong computational and programming skills (e.g., R, Python)
- First-authored publications demonstrating scientific rigor and creativity
Job Description
- Develop and apply computational and statistical methods to large-scale multi-omics and multimodal datasets
- Conduct independent and collaborative research on cardiovascular and age-related diseases
- Publish high-impact research findings in peer-reviewed journals
- Collaborate with interdisciplinary teams across MGH and the Broad Institute
- Mentor students and junior researchers and develop leadership skills
- Contribute to grant writing and research proposal development (for academic-track postdocs)
What We Offer
- Strong commitment to career and research development, including publication and grant application support (e.g., K-awards, R01 preparation)
- Flexible co-mentorship opportunities to broaden expertise
- Access to large, rich, multi-cohort datasets
- Opportunities to develop mentorship and leadership skills
- A world-class research environment in Boston
- Competitive salary and professional growth opportunities
How to Apply
Interested candidates should send:
- Curriculum Vitae (CV)
by email to:
Informal inquiries and discussions with current lab members are welcome.
Last Date for Apply
Not specified (applications will be reviewed on a rolling basis until the position is filled).
