Adjunct Instructor in Generative AI in Clinical Decision Support
On-site · Waltham, Massachusetts, United States
Job Summary
Teach an 8-week asynchronous online course, RHIN 175 Generative AI in Clinical Decision Support, as part of Brandeis University’s Online Health Informatics Program. Core responsibilities include course logistics and facilitation (timely rollout of content, weekly announcements), instructor presence and engagement (live intro sessions, online discourse, student consultation), individual feedback and rubric-based grading, and adherence to professional conduct and accessibility standards. Qualifications require an advanced degree in a relevant field, significant AI/deployment experience, programming proficiency (Python, R), and online teaching ability. Preferred candidates have graduate-level online teaching experience and familiarity with Moodle/H5P. Applicants should submit a cover letter, CV/resume, and references; review begins June 1, 2026, with ongoing submissions. The position is in a collective bargaining unit represented by SEIU Local 509 and Brandeis emphasizes equal opportunity employment.
Required Qualifications
- Required: Advanced degree (Master’s or Ph.D.) in Computer Science, Health Informatics, Data Science, Engineering, or a related field
- Strong knowledge of AI fundamentals and its application to healthcare
- Minimum of 3 years of professional experience in developing and deploying real-world AI solutions
- Proficiency in a programming language (e.g. Python, R)
- At least 1 year of teaching or training experience (preferably online/asynchronous)
- Experience with online instruction
- Excellent communication and teaching skills in an online learning environment
- Preferred: Prior online teaching experience at the graduate level
- Knowledge of Moodle LMS and digital authoring tools (e.g., H5P)
- Interested candidates should submit a cover letter highlighting relevant qualifications and teaching experience, a current CV or resume, and references
- Application review begins June 1, 2026; ongoing submissions
- This appointment is in a collective bargaining unit represented by SEIU Local 509
- Equal Opportunity Statement included
Desired Qualifications
- Advanced degree (Master’s or Ph.D.) in Computer Science, Health Informatics, Data Science, Engineering, or a related field
- Strong knowledge of AI fundamentals and its application to healthcare
- Minimum of 3 years of professional experience in developing and deploying real-world AI solutions
- Proficiency in a programming language (e.g. Python, R)
- At least 1 year of teaching or training experience (preferably online/asynchronous)
- Experience with online instruction
- Excellent communication and teaching skills in an online learning environment
- Prior online teaching experience at the graduate level (preferred)
- Knowledge of Moodle LMS and digital authoring tools (e.g., H5P)
- A cover letter highlighting relevant qualifications and teaching experience
- A current CV or resume
- Contact information for three professional references
- Application review begins June 1, 2026; ongoing submissions
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