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. Saint Louis University is a premier employer in the St. Louis region that attracts faculty and staff from around the world. We recruit people of all faiths who share our mission to pursue truth for the greater glory of God and the service of others.

Part-time Faculty - Health Data Science & AI.

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