Tenured/Tenure-Track Assistant or Associate Professor Faculty Position in Artificial Intelligence for Life Sciences

About the role

Indiana University Bloomington invites applications for a tenured/tenure-track faculty position in the Luddy School of Informatics, Computing, and Engineering in the field of artificial intelligence for life sciences. The search is for assistant or associate professor rank to join the Computer Science or Intelligent Systems Engineering Department. The role involves teaching and leading cutting‑edge AI research, including generative AI, to connect biomolecular data (genomics, pharmaceutical mechanisms) with clinical insights for disease intervention (e.g., diabetes, cardiovascular disease). The appointment is a 10‑month position with an ideal start date of August 1, 2027 (negotiable). Full consideration is given to applications received by November 14, 2026; the position remains open until filled.

Responsibilities

• Develop and/or maintain a robust research portfolio, pursue and obtain major extramural funding, and conduct cutting‑edge research as a corresponding principal investigator and collaborator.
• Teach and mentor undergraduate and/or graduate students as assigned by the department chair.
• Provide service to the department, school, and university, and engage with the profession and/or community.
• Areas of particular interest include AI for genomics and systems biology, AI for clinical diagnosis and personalized medicine, AI for structural biology and drug discovery, agentic AI for life sciences research and discovery, and lab automation and bio‑instrumentation.

Qualifications

• PhD in Computer Science, Engineering, or a related field.
• Commitment to excellence in scholarship and teaching at undergraduate and graduate levels.
• For tenure‑track candidates: demonstrated record of scholarly achievement appropriate for a tenured appointment, including extramurally funded research as a corresponding PI, current funding or strong potential to secure external funding, established publication record, and experience leading sizable research initiatives.
• Industry experience at the intersection of AI and the life sciences is highly encouraged.