Join Us!

We are recruiting talented people to join us at Broad and MGH/Harvard! 

Please email: boxialab{at}gmail.com

We are actively recruiting postdoctoral fellows, graduate students, visiting scholars, and motivated trainees to join our group at the Broad Institute and MGH/HMS. We welcome new colleagues and friends who are highly motivated, independent, and creative thinkers to achieve predictive & programmable biology and address critical biomedical challenges. 

Research Focus: Our lab develops and applies biologically grounded multimodal AI technologies to decode genome regulation and pioneer next-generation cell engineering and de novo cell type design. Genome regulation and cell fate determination are intrinsically multimodal, integrating DNA sequence, protein complexes, and their intricate interactions. Across the past few years, we have built foundational multimodal genomics AI models—such as C.Origami and Chromnitron—that understand the key principles of genome regulation and enabled high-throughput in silico screens to accelerate discoveries. We are now at a transformative point: moving toward a predictive, quantitative understanding of cell fate determination, enabling programmable design of gene regulatory circuits and cell functions.

Candidate Profile: We welcome motivated and ambitious scientists across career stages to join us in this exciting exploration. Candidates should have a strong background & interests in areas such as (1) multimodal machine learning, (2) single-cell multiomics & computational systems biology, (3) synthetic biology, (4) aging, stem cell & regenerative biology, immunology, molecular neuroscience, or cancer biology. Strong motivation for independent research, problem-solving ability, and enthusiasm for working in a multidisciplinary and collaborative environment are essential. Successful candidates will develop and/or apply state-of-the-art multimodal genomics AI technologies to address critical aging, regeneration, and cancer biology challenges.

Location: Broad Institute and Massachusetts General Hospital/Harvard Medical School

Contact: Please email boxialab{at}gmail.com with your CV, a brief description of your background, research interest(s), and career goal(s). Selected candidates will be invited for an initial Zoom or in-person meeting. 2–3 reference letters will be requested afterward.

Specific Opportunities & Requirements:

Postdoctoral Candidates:

Computation-focused candidates: Ph.D. degree in computer science, data science, computational biology & single-cell multi-omics, or related fields is required. Strong expertise in multimodal machine learning and AI, neural networks (incl. transformer), (large) language models, etc., is highly encouraged. Candidates should have strong programming skills (e.g. Python) and experience using machine learning frameworks (e.g. PyTorch, TensorFlow).

Experiment-focused candidates: Ph.D. degree in broadly defined biomedical sciences with strong expertise in single-cell multiomics, synthetic genetics (with research experience with gene regulation etc), aging biology, stem cell & regenerative biology, cancer biology, immunology or molecular neuroscience. Candidates with research experience developing robust experimental technologies are strongly encouraged. 

Graduate Student Candidates: Current graduate students from Harvard Medical School and Harvard University are strongly encouraged to contact Bo for rotation and thesis projects. Our lab is ready to host students from diverse research backgrounds and support bold research projects from multimodal AI and single-cell multiomics technologies to aging and cancer biology challenges.

Visiting Scholar Candidates: Visiting Scholar candidates should have a strong research experience in computer science, data science, computational biology, single-cell multi-omics, synthetic biology, or specific biomedical fields. Candidates must demonstrate strong motivation, problem-solving skills, and the ability to work both independently and collaboratively. Computational scholars should have strong programming skills (e.g. Python) and experience developing or using machine learning and AI technologies. Experimental scholars should have demonstrated skills in single-cell multiomics, synthetic genetics, or specific biomedical systems. Visiting Scholars are typically expected to stay ≥6 months.

Master and Undergraduate Students: Highly motivated students are encouraged to reach out about research opportunities in our lab. Bo's career started with a eureka moment during his undergraduate research, which eventually led to multiple innovative epigenomic technologies. We strive to provide similar opportunities. We welcome students eager to think beyond boundaries and grow into next-generation scientific leaders. 

Mentorship & Support Commitment: 

We are committed to supporting the career and personal development of all lab members. We believe that the best science comes from good teams fueled by passion, motivation, perseverance, and – probably much underestimated – a supportive environment. We build an inclusive and supportive lab environment where everyone can achieve their science dreams and career goals regardless of their background, gender, ethnicity, race, or nationality.