Carnegie Mellon AI4BIO Fellowship

Carnegie Mellon University's Center for AI-Driven Biomedical Research (AI4BIO) is recruiting an inaugural cohort of postdoctoral fellows to build independent research programs at the frontier of artificial intelligence and biology. Based in CMU's Ray and Stephanie Lane Computational Biology Department, fellows define their own research agenda combining advances in AI and machine learning with major questions in biology and medicine, mentored jointly by two School of Computer Science faculty.

What you get:

• A one-year postdoctoral appointment, renewable for a second year after a satisfactory annual review
• Joint mentorship from two Carnegie Mellon School of Computer Science faculty members
• Access to CMU's research environment and the CMU AI Science Foundry
• Strong intellectual and career-development support

What you'll do:

• Develop an ambitious, independent research program integrating AI and machine learning with biology and medicine
• Collaborate across multiple faculty groups in the Lane Computational Biology Department
• Take part in AI4BIO seminars, workshops and collaborative projects
• Lead publications, start new collaborations and mentor students

Key dates:

• Applications, including letters of reference, close November 15, 2026

More information:

• Based at the Ray and Stephanie Lane Computational Biology Department, 5000 Forbes Avenue, Pittsburgh, PA 15213
• Applications are submitted through Interfolio
• Questions to AI4BIO@cs.cmu.edu; applicants are encouraged to contact potential faculty mentors before the deadline

• A Ph.D. in computer science, machine learning, computational biology, bioengineering, statistics, applied mathematics, or a related field
• Ph.D. received no more than two years before the fellowship start date, or all degree requirements completed before the start
• Exceptional research creativity, technical depth, and independence
• Application materials: a CV, a research statement of up to three pages, up to three representative publications or preprints, three letters of reference, and a cover letter naming potential CMU faculty mentors