Postdoctoral Associate - Center for Biomedical Informatics and Health Artificial Intelligence

Postdoctoral Associate - Center for 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. Research 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. Grant development 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. Education and mentoring 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 02/05/2027 Qualifications Minimum Education and Experience PhD in biomedical informatics, data science, computer science, or a closely related field, completed by the start date. Certifications/Licenses Required Knowledge, Skills, and Abilities First-author peer-reviewed publications in machine learning, natural language processing, or biomedical AI. Experience designing and evaluating machine learning or large language model systems on biomedical or clinical data. Strong Python programming and experience building reproducible research pipelines. Excellent scientific writing and presentation skills, with demonstrated ability to communicate research findings and lead work across interdisciplinary teams. Preferred Qualifications Peer-reviewed publications on LLM -assisted systematic or scoping reviews, automated evidence synthesis, or scientific claim verification. Research on model reliability under distribution shift, including drift detection, calibration, uncertainty quantification, explainability, or adaptation across data sources. Experience with electronic health records, clinical text, and multimodal clinical data. Experience with retrieval-augmented generation, multi-stage LLM workflows, semantic retrieval, or agentic AI systems. Contributions to research proposals, including funded awards. Senior professional experience leading data science or technical initiatives in academia or industry, including large-scale data systems, team mentoring, and delivery of applied AI projects. Experience designing and delivering technical training, workshops, or courses. Physical Demands and Work Environment Overview The Center for Biomedical Informatics and Health AI was established to serve as the catalyst for a transformative effort that establishes Rutgers as a national and international leader in computational medicine and health AI. The overarching goal is to bring together substantial existing, but currently siloed, strengths in the broad area of biomedical informatics, including bioinformatics, clinical informatics, clinical research informatics, public health informatics, translational bioinformatics, etc., and substantially expanding them, especially in the area of health AI, making them collectively much more than the sum of their parts. 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. Campus Rutgers University-New Brunswick Home Location Campus Rutgers University - New Brunswick City New Brunswick State NJ Location Details 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. 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