Postdoc: Biomedical AI & Informatics Research Lead

Rutgers University; New Brunswick (NJ); Vor Ort; USD 58.000 - 70.000; Vollzeit

Benefits dieser Stelle

Medical, prescription, dental coverage

Vacation, holidays, and leave programs

Retirement benefits including defined,

Educational benefits for employee and?

Life insurance coverage

Employee discount programs

Zusammenfassung

Rutgers University seeks a Postdoctoral Associate in the Center for Biomedical Informatics and Health Artificial Intelligence to lead AI-driven research for trustworthy evidence synthesis. You will develop large language model methods to verify scientific claims, advance AI-assisted living reviews, and study AI reliability as data and practice evolve.

The role combines research leadership, NIH grant development, and contributions to AI-focused training programs, with emphasis on human-AI

Qualifikationen

• PhD in biomedical informatics, data science, computer science, or closely related field.
• First-author peer-reviewed publications in ML, NLP, or biomedical AI.
• Experience designing and evaluating ML/LLM systems on biomedical/clinical data.
• Strong Python programming and reproducible research pipelines.

Aufgaben

• Design AI-assisted systematic and living review workflows; evaluate against human reference standards.
• Lead development and validation of methods to test whether cited publications substantiate claims.
• Study reliability of AI models in biomedical settings and drift across data sources over time.
• Develop and evaluate ML, clinical NLP, and multimodal AI methods for biomedical research.
• Publish in peer-reviewed venues and release reproducible software.

Kenntnisse

First-author publications in ML/NLP/bi

ML/LLM design & evaluation on biomed

Python programming

Scientific writing & presentation

Ausbildung

PhD in biomedical informatics or closely related field

Tools

Python

Jobbeschreibung

Rutgers University seeks a Postdoctoral Associate in the Center for Biomedical Informatics and Health Artificial Intelligence to lead AI-driven research for trustworthy evidence synthesis. You will develop large language model methods to verify scientific claims, advance AI-assisted living reviews, and study AI reliability as data and practice evolve.

The role combines research leadership, NIH grant development, and contributions to AI-focused training programs, with emphasis on human-AI