Northern California HERC

Adjunct Assistant/Associate Professor â“ 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 Departments 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.

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About Saint Louis University

Saint Louis University(SLU) is a private, co-educational Jesuit university located in St. Louis, Missouri, United States. Founded in 1818 by the Most Reverend Louis Guillaume Valentin Dubourg SLU is the oldest university west of the Mississippi River. The University has campuses in St. Louis, Mo. and Madrid, Spain. SLU values academic excellence, life-changing research, compassionate health care, and a strong commitment to faith and service. For nearly 200 years, the University has gone beyond teaching facts and figures, encouraging students to form ideas and identities. Today, SLU students are nearly 14,000 strong. The University has invested vast resources to advance academic programs and enhance the student experience. SLU also is a major research institution where premier researchers tackle local and global challenges. And the University's commitment to community service has earned it national acclaim and bolstered its status as a character-building college.

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