Part-time Faculty - Health Data Science & AI
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Before you apply
LocationSLU Saint Louis, MO
Work modehybrid
Typepart-time
SenioritySenior
DepartmentDepartment of Health and Clinical Outcomes Research
Company size10,000+ people
PostedNov 10, 2025 · 12mo ago
Verified live3d ago
Evergreen / pipeline role
This company keeps this posting open to collect applicants. It may not correspond to a specific current opening.40% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
R
SQL
TensorFlow
PyTorch
SAS
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:
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Privacy, Ethics, Regulation & Policy
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Introduction to Artificial Intelligence
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Predictive Modeling and Machine Learning
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Image Processing and Deep Learning
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Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
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Reinforcement Learning for Clinical Decision Making
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Telehealth & Telemedicine
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AI for Precision Medicine & Genomics & Diagnostics
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Research in Medicine
Additional responsibilities include:
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Develop and deliver engaging, practice-based course materials.
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Mentoring students on applied research and analytics projects using real-world datasets.
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Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
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Participating in departmental meetings or student events, as appropriate for adjunct appointments.
Qualifications
Required:
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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.
Nice to have
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
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Type: Adjunct, non-tenure track
•
Rank: Assistant or Associate Professor (commensurate with qualifications)
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Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
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Start Date: Ongoing recruitment for upcoming academic terms
Application Instructions
Interested applicants should submit:
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A cover letter outlining teaching interests and relevant experience
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Curriculum vitae (CV)
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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
Legal
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.
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