Postdoctoral Scholars at Bo Xia Lab: The Bo Xia Lab at the Broad Institute of MIT and Harvard, in collaboration with Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), is recruiting highly motivated scientists across multiple career stages to join an interdisciplinary research team. The lab focuses on AI-driven, multimodal genomics to understand, predict, and design cellular rules, addressing fundamental challenges in cancer, aging, regeneration, and cell fate determination.
Postdoctoral Scholars, Graduate Students, Visiting Scholars & Student ResearchersBo Xia Lab – Broad Institute of MIT & Harvard / Massachusetts General Hospital / Harvard Medical School
Summary Table
| Category | Details |
|---|---|
| Institute | Broad Institute of MIT & Harvard, MGH, HMS |
| Lab | Bo Xia Lab |
| Positions | Postdoctoral Scholars, Graduate Students, Visiting Scholars, Master’s & Undergraduate Students |
| Research Theme | AI-driven Multimodal Genomics & Cell Engineering |
| Location | Massachusetts, USA |
| Application Mode | |
| Website | boxialab.org |
Designation
- Postdoctoral Scholar
- Graduate Student
- Visiting Scholar
- Master’s Student
- Undergraduate Researcher
(Multiple positions available across career stages)
Research Area
- Multimodal Machine Learning & Generative AI
- Single-cell Multi-omics & Computational Systems Biology
- Gene Regulation & Cell Fate Determination
- Synthetic Biology & Bioengineering
- Applications in:
- Aging Biology
- Cancer Biology
- Stem Cell & Regenerative Biology
- Immunology
- Molecular Neuroscience
Location
Broad Institute of MIT and Harvard
& Massachusetts General Hospital (Harvard Medical School)
Massachusetts, USA
Eligibility / Qualification
Computation-Focused Candidates
- Ph.D. in:
- Computer Science
- Data Science
- Computational Biology
- Single-cell Multi-omics
- or related fields
- Strong programming skills
- Experience with machine learning frameworks such as:
- PyTorch
- TensorFlow
- Expertise in:
- Multimodal Machine Learning
- Generative AI
- Agentic Models (preferred)
Experiment-Focused Candidates
- Ph.D. in Biomedical Sciences, including but not limited to:
- Single-cell Genomics
- Gene Regulation
- Synthetic Genetics
- Aging Biology
- Stem Cell & Regenerative Biology
- Cancer Biology
- Immunology
- Molecular Neuroscience
- Strongly encouraged:
- Experience developing genomic or synthetic biology technologies
General Requirements
- Strong independent research motivation
- Excellent problem-solving skills
- Enthusiasm for multidisciplinary and collaborative research
Job Description
Selected candidates will:
- Develop and/or apply state-of-the-art multimodal genomics AI technologies
- Contribute to foundational AI models (e.g., C.Origami, Chromitron)
- Perform high-throughput in silico screening to accelerate biological discovery
- Advance predictive, interpretable, and programmable models of cell fate determination
- Address critical biological questions in aging, regeneration, and cancer
How to Apply
Interested candidates should email the following to:
Required Documents:
- Curriculum Vitae (CV)
- Brief description of:
- Research background
- Research interests
- Career goals
Selection Process:
- Shortlisted candidates will be invited for an initial Zoom or in-person interview
- 2–3 reference letters will be requested at a later stage
For additional opportunities (Graduate, Visiting Scholar, Master’s, Undergraduate positions), visit:
https://www.boxialab.org/join-us
Last Date for Apply
Open until positions are filled
