Postdoctoral Fellow

Mass General Brigham • Boston, MA

4d • Hybrid

About The Position

Yu Lab at MGH and the Broad Institute of MIT and Harvard is seeking a motivated and creative Postdoctoral Fellow to join our team (https://zhiyu7.github.io/). Our lab focuses on developing and applying computational and statistical methods to multi-omics and other multi-modal data (including genomics, transcriptomes, proteomics, medical imaging, clinical data, and lifestyle data) to examine the mechanisms and potential interventions for cardiovascular and other age-related diseases. We aim to develop personalized strategies for disease prevention and treatment.

Requirements

• A Ph.D. (or expected Ph.D.) in a quantitative field such as Biostatistics, Bioinformatics, Computational Biology, Electrical or Biomedical Engineering, Genetic Epidemiology, or related discipline.
• Strong computational and programming skills are essential (e.g., R or Python).
• Demonstrated experience in analyzing large-scale, complex datasets.
• First-authored publication(s) demonstrating scientific rigor and creativity.

Responsibilities

• Lead projects in one or more of our key research areas, depending on interest and expertise: Clonal Hematopoiesis & Age-related Disease, Machine Learning & Multi-modal Data, Multi-omics Methods Development

Benefits

• A strong commitment to mentorship and career development.
• The group has a robust publication record, and we are dedicated to helping you build yours.
• For postdocs aiming for academia, we provide active support for grant applications (e.g., K99/R00) to ensure you are a strong candidate on the job market.
• Access to rich, large-scale data, in terms of both the number of cohorts and data types.
• Mentorship opportunities. You will have the chance to mentor a number of talented junior students (who are lovely to work with), helping you gain valuable mentoring experience while expanding your own publication record.
• A world-class research environment.
• A competitive salary compared to similar roles.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree