Open Rank Faculty

Posting Summary The Department of Health Informatics invites applications for a full‑time, Non‑Tenure Teaching Track, Assistant Professor position with a specialization in Generative AI, Large Language Models (LLMs), and Deep Learning. The candidate will contribute to the department’s growing emphasis on cutting‑edge AI technologies in healthcare, including the newly launched AI in Healthcare track in the MS in Health Informatics program. Essential Duties and Responsibilities Teach graduate‑level courses in Health Informatics, with a focus on AI, LLMs, and Deep Learning. Develop and maintain an active research agenda in generative AI applications in healthcare. Mentor graduate students and supervise doctoral research projects. Collaborate with faculty across disciplines to advance interdisciplinary research. Contribute to curriculum development, particularly in the AI in Healthcare track. Participate in Departmental, School, and University service. Participate in Annual Performance Evaluations and Workload Distribution discussions for the program. Perform other related duties as assigned and as permitted by workload requirements. Abide by the Compliance Policy, Code of Conduct and Conflict of Interest Policy. Qualifications Minimum Education and Experience Ph.D. in Computer Science, Health Informatics, Biomedical Engineering, or a closely related field. Exceptional candidates with an M.S. in Computer Science and demonstrated expertise in generative AI will also be considered. Preferred Qualifications Experience applying AI techniques to healthcare or biomedical domains. Prior teaching experience at the graduate level. Industry experience or collaborations in AI‑driven healthcare solutions. Familiarity with regulatory and ethical considerations in AI for health. Physical Demands and Work Environment Sedentary work with occasional lifting, carrying, pushing, or pulling. Requires close visual acuity when working with computers, e.g., extensive reading and typing. Work is performed in a typical office environment. Pre‑employment Screening All offers of employment are contingent upon successful completion of all pre‑employment screenings. Immunization Requirements Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: #J-18808-Ljbffr Rutgers University