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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Part-time Faculty - Health Data Science & AI - **Company:** Saint Louis University - **Location:** St. Louis, MO, United States - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Bioinformatics, Health Informatics, Clinical Data Repository, EHealth, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, SAS (Software), Software Deployment, SQL Databases, Reinforcement Learning, Pytorch, Large Language Models, Deep Learning, Information Technology, Data Analytics - **Published:** September 1, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/85428241/1 ## About the Role 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. ## Description The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine., 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. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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