AI-Driven Biomedical Fellow (Postdoc)

Ray and Stephanie Lane Computational Biology Department; Pittsburgh (Allegheny County); On-site; USD 65,000 - 90,000; Full time

Job summary

The AI4BIO Fellows Program at Carnegie Mellon University invites applications for an early-career postdoctoral fellowship in AI and biology. Fellows will develop independent research programs that integrate AI/ML with biology and medicine, and will build collaborations across CMU.

Fellows are based in Carnegie Mellon University's Lane Computational Biology Department and co-mentored by two School of Computer Science faculty.

Qualifications

• PhD in computer science, machine learning, computational biology, bioengineering, statistics, applied mathematics, or a related field.
• PhD no more than two years old at start or expect to complete before start.
• Evidence of exceptional research creativity, technical depth, independence, and leadership potential at AI-biology interface.
• Strong AI/ML, statistics, or computational backgrounds encouraged.
• Strong biological/biomedical training encouraged with computational expertise or plan to develop AI-driven research directions.

Responsibilities

• Develop an independent research agenda bridging AI and biology.
• Mentor students and collaborate across CMU groups and labs.
• Publish high-impact research and build collaborations in AI4BIO and CMU.

Skills

Independent research

Leadership potential

Cross-disciplinary collaboration

Education

PhD in CS/ML/Computational biology

Job description

The AI4BIO Fellows Program at Carnegie Mellon University invites applications for an early-career postdoctoral fellowship in AI and biology. Fellows will develop independent research programs that integrate AI/ML with biology and medicine, and will build collaborations across CMU.

Fellows are based in Carnegie Mellon University's Lane Computational Biology Department and co-mentored by two School of Computer Science faculty.