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

USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Department of Regulatory and Quality Sciences, 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.

About the Role

The USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences seeks a faculty member to bridge rapidly evolving technologies—such as AI, digital health, extended reality (XR), and digital therapeutics—with education in pharmaceutical sciences, pharmacy practice, and regulatory science. This strategic investment aims to position USC Mann as a national leader in the responsible integration of emerging technologies into healthcare innovation, clinical care, and pharmacy education.

The successful candidate will critically evaluate AI-enabled interventions, digital therapeutics, software as a medical device (SaMD), virtual and extended reality applications, clinical decision support systems, and other digitally enabled healthcare innovations through the lens of patient safety, regulatory compliance, quality systems, ethical use, and evidence-based practice.

As a Teaching Track faculty member, approximately 80% of effort will be devoted to teaching, mentoring, advising, and curriculum development, with the remaining 20% dedicated to scholarly activities and university service. The position does not lead to tenure.

Responsibilities

Teaching and Curriculum Leadership

• Develop and coordinate graduate, professional, and undergraduate coursework in AI, digital health, digital therapeutics, regulatory science, healthcare innovation, and pharmaceutical sciences.
• Integrate AI across pharmacy, pharmaceutical sciences, and regulatory science education through innovative curricula.
• 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 to evaluate students' ability to critically assess AI-generated outputs, distinguish technological promise from clinically meaningful impact, and responsibly implement AI-enabled healthcare technologies.
• Hold regular office hours and provide mentoring and academic advising.
• Serve on standing and special committees of the department, school, and university.
• Attend department and Mann Faculty Council meetings.

Student Mentorship and Experiential Education

• Mentor PharmD, MS, DRSc, and undergraduate students.
• Supervise doctoral dissertations.
• Advise graduate students conducting research in regulatory science, digital health, AI, and healthcare innovation.
• Develop experiential learning opportunities for students with:
  • FDA and other regulatory agencies
  • Healthcare systems
  • Pharmaceutical companies
  • Medical device manufacturers
  • Digital health companies
  • AI developers
  • Technology innovators
• Support student participation in interdisciplinary research and innovation initiatives.

Scholarship and Translational Research

• Publish scholarly work in peer-reviewed journals.
• Present research nationally and internationally.
• Participate in interdisciplinary grant development.
• Develop collaborative research programs across USC.
• Build academic-industry partnerships supporting translational innovation.
• Collaborate with other USC Mann and university faculty in educational, clinical, and regulatory science scholarship.

Strategic Leadership

• Lead the integration of AI, digital health, and digital therapeutics throughout the curriculum.
• Serve as a resource for faculty, students, healthcare organizations, regulatory agencies, and industry partners.
• Support grant development and interdisciplinary research initiatives.
• Facilitate collaborations across pharmacy, engineering, computer science, medicine, public health, regulatory science, and business.
• Contribute to the DK Kim International Center for Regulatory Science.
• Remain current with evolving FDA guidance, international regulatory frameworks, quality standards, and best practices governing AI, machine learning, digital therapeutics, and digitally enabled healthcare technologies.

University Service

• Participate actively in departmental, school, university, and professional service through committee participation, faculty governance, annual reviews, peer teaching evaluations, accreditation activities, and leadership in national professional organizations.
• Demonstrate excellence in inclusive teaching, innovative pedagogy, and effective use of educational technologies.

Requirements

Minimum Qualifications

• A PharmD degree (preferred) and/or an earned doctoral degree in pharmacy, pharmaceutical sciences, regulatory science, medicine, biomedical engineering, health informatics, computer science, or a closely related discipline.
• Demonstrated expertise in at least several of the following:
  • Artificial intelligence
  • Machine learning
  • Digital health
  • Digital therapeutics
  • Software as a Medical Device
  • Healthcare informatics
  • Regulatory science
  • Clinical decision support
  • Precision medicine
  • Digital biomarkers
  • Extended reality
  • Imaging science
• Demonstrated excellence or strong potential in teaching and curriculum development.
• Evidence of scholarly productivity related to AI, digital health, healthcare innovation, or regulatory science.
• Excellent written and verbal communication skills.
• Ability to mentor graduate, undergraduate, and professional students.

Preferred Qualifications

• A PharmD combined with advanced training or substantial professional expertise in AI, digital health, clinical informatics, or regulatory science.
• Experience evaluating AI-enabled healthcare technologies in clinical, academic, industry, or regulatory settings.
• Knowledge of FDA regulatory frameworks governing AI/ML-enabled medical devices, Software as a Medical Device (SaMD), Digital Health Technologies (DHTs), digital therapeutics, and AI lifecycle management.
• Experience in curriculum innovation and interdisciplinary education.
• Demonstrated success collaborating with healthcare systems, regulatory agencies, technology companies, and pharmaceutical organizations.
• Experience with externally funded research and grant development.
• Expertise in implementation science, pharmacovigilance, real-world evidence, quality systems, or AI governance.
• Demonstrated commitment to inclusive excellence and educational innovation.

Pay

The annual base salary range for this position is $120,000 - $140,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Benefits

• Health, dental, and life insurance
• Tuition assistance
• Disability and retirement plans
• Credit union membership
• Participation in cultural and social events
• Access to athletic and recreational facilities

Merit reviews are conducted annually, with salary enhancements based on performance. Re-appointment and eventual promotion within the teaching track are expectations based on performance assessment.