Open Rank Faculty

Rutgers University; Piscataway Township (NJ); Vor Ort; USD 90.000 - 110.000; Vollzeit

Benefits dieser Stelle

Health benefits

Vacation & leave

Retirement benefits

Education benefits

Life insurance

Employee discounts

Zusammenfassung

Rutgers University in Piscataway, NJ, invites applications for a full-time, Non-Tenure Teaching Track Assistant Professor in Health Informatics with a specialization in Generative AI, LLMs, and Deep Learning. The position focuses on graduate education and cutting-edge AI in healthcare.

The successful candidate will teach graduate courses, develop a research program in generative AI for healthcare, supervise doctoral work, and contribute to the AI in Healthcare track within the MS in Health

Qualifikationen

• PhD in Computer Science, Health Informatics, Biomedical Engineering, or closely related field.
• Exceptional candidates with an MS in Computer Science and demonstrated expertise in generative AI will also be considered.

Aufgaben

• 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.

Kenntnisse

AI in healthcare

Graduate teaching

Industry collaborations

Regulatory ethics

Ausbildung

PhD in CS/Health Informatics

MS in CS with Generative AI

Jobbeschreibung

Position Details

Position Information

Recruitment/Posting Title Open Rank Faculty Department SHP - Health Informatics Salary Details A minimum of 100,000.00 Offer Information

The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits

• Medical, prescription drug, and dental coverage
• Paid vacation, holidays, and various leave programs
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
• Employee and dependent educational benefits (when applicable)
• Life insurance coverage
• Employee discount programs

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. We seek a dynamic educator and researcher who 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: Compliance Policy, Code of Conduct and Conflict of Interest Policy

Position Status Full Time Posting Number 25FA1083 Posting Open Date Posting Close Date

Qualifications

Minimum Education and Experience

• PhD in Computer Science, Health Informatics, Biomedical Engineering, or a closely related field
• Exceptional candidates with an MS in Computer Science and demonstrated expertise in generative AI will also be considered.

Preferred Qualifications

Certifications/Licenses Required Knowledge, Skills, and Abilities 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.

Equipment Utilized Physical Demands and Work Environment

Sedentary work with occasional lifting, carrying, pushing or pulling. Requires close visual acuity as in working with computers, e.g. extensive reading and typing. Work is performed in a typical office environment.

Campus Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus Piscataway (RBHS) City Piscataway State NJ Location Details

Pre-employment Screenings

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: http://uhr.rutgers.edu/non-discrimination-statement

Posting Specific Questions

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