BTS General Faculty Recruitment

About the role

The UCSF Department of Bioengineering and Therapeutic Sciences invites applications for a faculty position at the Assistant, Associate, or Full Professor level. While the search focuses on junior candidates for appointment as Assistant Professor, exceptional candidates with more experience will be considered for Associate or Full Professor appointments. The department seeks creative scientists who ask fundamental questions and develop innovative technologies, working at the interfaces of disciplines such as computational biology, molecular engineering and design, therapeutic bioengineering, systems pharmacology, drug development sciences, pharmacogenomics, and across the broader UCSF discovery science community (e.g., biochemistry, biophysics, cell biology, pharmacology, pharmaceutical chemistry, physiology, neuroscience, human genetics). Particular interest is shown in candidates at the forefront of developing, applying, or leveraging artificial intelligence/machine learning methods to address high‑impact biological questions.

Responsibilities

• Establish an exciting and collaborative research program.
• Mentor graduate students and postdoctoral scholars in formal and informal settings.
• Contribute to teaching and mentoring activities within the department’s top‑ranked interdisciplinary graduate programs.
• Engage with faculty across the department and the wider UCSF community to foster interdisciplinary collaborations.
• Participate in faculty development opportunities and contribute to the academic mission of UCSF.

Requirements

• Hold a doctoral degree (Ph.D., Pharm.D./Ph.D, or M.D./Ph.D.).
• Demonstrate a commitment to mentorship and training of future scientists.

Qualifications

• Demonstrated significant research accomplishments.
• Present a clearly articulated original research program with the potential to impact discovery science, bioengineering, or have long‑term applications to human health.
• Expertise in developing, applying, and/or leveraging artificial intelligence/machine learning methods to answer high‑impact biological questions.
• Background in experimental and/or computational research approaches.

Skills

• Proficiency in AI/ML techniques and their application to biological problems.
• Ability to work across computational biology, molecular engineering and design, therapeutic bioengineering, systems pharmacology, drug development sciences, and pharmacogenomics.
• Capacity to collaborate with experts in biochemistry, biophysics, cell biology, pharmacology, pharmaceutical chemistry, physiology, neuroscience, and human genetics.
• Strong communication, mentoring, and collaborative skills.

Benefits

• Competitive salaries.
• Generous research start‑up funds.
• Recruitment allowances.
• Numerous opportunities for faculty development and