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SLU

Part-time Faculty - Health Data Science & AI

SLU Saint Louis, MO

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor – Health Data Science and Artificial Intelligence Applications in Medicine

  • Department of Health and Clinical Outcomes Research
  • Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department’s data science and AI curriculum:

Privacy, Ethics, Regulation & Policy

Introduction to Artificial Intelligence

Predictive Modeling and Machine Learning

Image Processing and Deep Learning

Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

Reinforcement Learning for Clinical Decision Making

Telehealth & Telemedicine

AI for Precision Medicine & Genomics & Diagnostics

Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

Experience teaching graduate courses in AI, data science, or health informatics.

Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

Type: Adjunct, non-tenure track

Rank: Assistant or Associate Professor (commensurate with qualifications)

Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)

Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

A cover letter outlining teaching interests and relevant experience

Curriculum vitae (CV)

Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

Original posting on SLU's site ↗

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