Assistant Professor of Regulatory and Quality Sciences (Teaching Track) Artificial Intelligence, Digital Health, and Regulatory Innovation

The USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Department of Regulatory and Quality Sciences (https://regulatory.usc.edu), invites applications for a full-time, 12-month, non-tenure track faculty position at the rank of Assistant Professor (Teaching Track) with expertise in clinical pharmacy, artificial intelligence (AI), digital health, digital therapeutics, extended reality (XR), and regulatory science. This position represents a strategic investment in USC Mann's vision to become a national leader in the responsible integration of emerging technologies into pharmaceutical sciences, pharmacy education, clinical care, and healthcare innovation.

Position Overview

The USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences is uniquely positioned to become a national leader in integrating digital health, artificial intelligence (AI), extended reality (XR), and digital therapeutics into pharmacy education, pharmaceutical sciences, regulatory science, clinical care, and healthcare innovation. As AI increasingly transforms every stage of the healthcare continuum, from drug discovery and development, clinical trials, regulatory review, pharmacovigilance, precision medicine, and medical product lifecycle management to clinical decision support and patient care delivery, the School seeks a faculty member capable of bridging these rapidly evolving technologies with education in pharmaceutical sciences, pharmacy practice, and regulatory science.

Achieving this strategic priority requires a faculty member with clinical pharmacy training and specialized expertise in AI, digital health, and emerging healthcare technologies who can evaluate their clinical utility, safety, limitations, regulatory implications, and implementation challenges. A PharmD with advanced expertise in AI and digital health is uniquely positioned to contextualize these innovations within real-world healthcare environments, ensuring that future pharmacists, pharmaceutical scientists, and regulatory professionals understand these technologies function and application.

The needs extend beyond teaching foundational concepts in AI or data science. USC Mann seeks faculty leadership capable of critically evaluating AI-enabled interventions, digital therapeutics, software as a medical device (SaMD), virtual and extended reality applications, clinical decision support systems, remote patient monitoring technologies, and other digitally enabled healthcare innovations through the lens of patient safety, regulatory compliance, quality systems, ethical use, and evidence-based practice. This expertise is increasingly essential within academic institutions.

This faculty member will provide leadership in developing innovative curricula, experiential learning opportunities, interdisciplinary scholarship, and academic-industry collaborations while helping students understand the complete lifecycle of AI in healthcare. As a Teaching Track faculty member, approximately 80% effort will be devoted to excellence in teaching, mentoring, advising, curriculum development, and experiential education, with the remaining effort dedicated to scholarly activities and university service consistent with USC promotion expectations. The position does not lead to considerations for tenure

Responsibilities

The successful candidate will contribute to USC Mann's educational and strategic missions through excellence in teaching, scholarship, mentoring, and service.

Teaching and Curriculum Leadership

Responsibilities include:

• Develop and coordinate graduate, professional, and undergraduate coursework in AI, digital health, digital therapeutics, regulatory science, healthcare innovation, and pharmaceutical sciences.
• Develop innovative curricula integrating AI across pharmacy, pharmaceutical sciences, and regulatory science education.
• Teach approximately two to three courses per semester (35–50 contact hours per course), coordinating guest lecturers and interdisciplinary faculty participation.
• Create engaging lectures, workshops, simulations, laboratory experiences, and experiential learning activities related to:
  • Artificial intelligence in healthcare
  • Digital therapeutics
  • Digital biomarkers
  • Remote patient monitoring
  • Clinical decision support
  • Extended reality (XR), virtual reality (VR), and augmented reality (AR)
  • Software as a Medical Device (SaMD)
  • Connected health technologies
  • AI governance and responsible innovation
  • Regulatory science for emerging technologies
  • Imaging science

• Develop assessment tools that evaluate students' ability to critically assess AI-generated outputs, distinguish technological promise from clinically meaningful impact, and responsibly implement AI-enabled healthcare technologies.