Postdoctoral Associate - Center Biomedical Informatics and Health Artificial Intelligence

Recruitment/Posting Title Postdoctoral Associate
- Center for Biomedical Informatics and Health Artificial Intelligence

Department

Department Institute for Health, Health C

Salary Details A minimum of $63,968 for calendar year appointments

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.

Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

• 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

Rutgers Institute for Health, Health Care Policy and Aging Research seeks a biomedical informatics researcher to lead research and grant development in trustworthy AI for scientific evidence synthesis and health care. The successful candidate will develop and evaluate large language model methods for scientific claim verification, advance AI-assisted systematic and living reviews, and study how AI models stay reliable as data and practice change.

The position combines research leadership, development of NIH proposals, and contributions to AI-focused research training programs. A unifying theme is the design of systems in which humans and AI perform better together than either alone.

• Design AI-assisted systematic and living review workflows covering retrieval, screening, extraction, and continuous updating, and evaluate them against human-labeled reference standards.
• Lead the development and validation of methods that test whether cited publications substantiate the claims made about them, from sentence-level claims to paragraph-level and network representations of evidence.
• Study the reliability of AI models in biomedical settings, including detection of performance drift and automatic adaptation of models across data sources and over time.
• Develop and evaluate machine learning, clinical NLP , and multimodal AI methods for biomedical and health care research.
• Design evaluations of human-AI collaboration, including automation bias and the conditions under which combined performance exceeds either partner alone.
• Publish in peer-reviewed journals and conferences and release reproducible research software.

• Lead the preparation of NIH research proposals, beginning with an R01 application, including specific aims, background, preliminary data, approach, and evaluation plans.
• Generate and analyze preliminary data, and coordinate contributions from faculty, students, and collaborators.
• Identify further funding opportunities for research and training programs.

• Develop and deliver intensive courses and workshops on AI-assisted systematic reviews, machine learning, and responsible AI.
• Contribute to the development of AI research training programs and educational grant initiatives.
• Mentor doctoral students and junior researchers in study design, AI methods, research software, and scientific writing.

Position Status Full Time

Posting Number 26FA0996

Posting Close Date…