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Jefferson Health

Academic health system

Assistant/Associate Professor

Higher Education FacultyConfirmed live in the last 24 hours
Full-timePhiladelphia, PA, USANo salary listed

About the Job

Requirements

  • A terminal degree in a relevant field, such as a PhD, DrPH, MD, DO, or equivalent.
  • Demonstrated expertise in one or more of artificial intelligence, machine learning, healthcare analytics, biomedical informatics, or clinical informatics.
  • Experience teaching or training students and/or professionals in online environments.
  • Strong communication skills and the ability to engage both technical and clinical audiences.
  • Commitment to student success, mentorship, and interdisciplinary collaboration.

Responsibilities

  • Teach graduate-level courses and contribute to curriculum development in artificial intelligence and machine learning, healthcare analytics, biomedical informatics, clinical artificial intelligence applications, natural language processing, and artificial intelligence ethics and responsible artificial intelligence.
  • Design hands-on learning experiences using real-world healthcare data.
  • Contribute to curriculum innovation, continuous program improvement, and interdisciplinary, team-based online learning initiatives.
  • Advise and mentor graduate students on academic and career development.
  • Supervise student capstone projects addressing real-world healthcare challenges.
  • Mentor students in applied, quantitative research and innovation projects as appropriate.
  • Support student professional development in healthcare, artificial intelligence, digital health, and related fields.
  • Lead or collaborate on externally funded research and applied innovation initiatives.
  • Conduct scholarly or applied work related to clinical artificial intelligence applications, healthcare operations and analytics, population health analytics, artificial intelligence-enabled healthcare transformation, and responsible and ethical artificial intelligence implementation.
  • Publish and present work in peer-reviewed journals, scientific meetings, and professional venues.
  • Collaborate with faculty across university colleges and research centers.
  • Collaborate with Jefferson Health on applied artificial intelligence and analytics projects.
  • Participate in partnerships with healthcare organizations, startups, government agencies, and technology companies.
  • Contribute to translational initiatives that bridge research and practice.
  • Represent the program and University at professional, community, and recruitment events.
  • Participate in assigned College, University, and program committees.
  • Contribute to program governance, accreditation activities, and strategic planning.
  • Support student recruitment, outreach, and program promotion.
  • Provide service to the profession, University, and broader community.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience applying artificial intelligence, machine learning, or data science in healthcare settings.
  • Familiarity with healthcare data systems and standards, including electronic health records, Fast Healthcare Interoperability Resources (FHIR), and Health Level Seven (HL7).
  • A record of publications, funded research, or applied innovation commensurate with rank.
  • Experience collaborating across academic, healthcare, and industry environments.
  • Industry, consulting, or health system leadership experience related to artificial intelligence or digital health.

About the Company

Jefferson Health

Academic health system

Jefferson Health is an academic health system serving Philadelphia, South Jersey, and surrounding communities. The system delivers hospital, specialty, primary, emergency, outpatient, research, and professional education services across its care network. It serves patients, families, clinicians, students, researchers, and regional communities. Its operating model centers on clinical care integrated with university education, research, physician practices, and shared health-system operations. Teams work across nursing, physicians, allied health, research, education, technology, facilities, administration, and patient access. This structure supports consistent delivery across the organization.

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