AI/ML Biotech Teaching Adjunct for Master’s Program

University of California, San Francisco; San Francisco (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

University of California, San Francisco invites applications for a full-time adjunct teaching position in the AICD3 Master’s program. The role focuses on teaching artificial intelligence and computational drug discovery and development courses, with additional support to related programs as needed.

The position emphasizes developing AI/ML coursework, coordinating curriculum, and mentoring students, with opportunities to contribute to broader teaching and research initiatives within the

Qualifications

• PhD or equivalent in computer science, bioengineering, pharmacology, or related fields.
• Demonstrated expertise in AI/ML applications to biotechnology and drug discovery.
• Prior teaching experience in the health sciences preferred.
• Industry experience and curriculum development advantageous.
• Strong collaboration skills and a commitment to mentorship.

Responsibilities

• Develop and deliver AI/ML-focused coursework, including lectures, small group sessions, and project advising.
• Plan and coordinate curriculum, schedule, and instructional materials.
• Administer proctoring, grading, and assessment of student performance.
• Mentor and advise students on research projects and career development.
• Collaborate with faculty and staff to enhance program quality and student outcomes.

Skills

AI/ML applications in biotech

Collaboration & mentorship

Teaching experience in health sciences

Education

PhD in related field

Job description

University of California, San Francisco invites applications for a full-time adjunct teaching position in the AICD3 Master’s program. The role focuses on teaching artificial intelligence and computational drug discovery and development courses, with additional support to related programs as needed.

The position emphasizes developing AI/ML coursework, coordinating curriculum, and mentoring students, with opportunities to contribute to broader teaching and research initiatives within the