Post-Doctoral Fellowship for Contextualized Evaluation of AI for Healthcare
Post-Doctoral Fellowship for Contextualized Evaluation of AI for Healthcare
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Job Description
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking a postdoctoral researcher to advance the development of rigorous clinically grounded evaluation methodologies for Artificial Intelligence (AI) in healthcare. Our research focuses on building comprehensive evaluation frameworks that consider the context of AI deployment within clinical workflows and its impact on downstream decisions and patient outcomes. The complexity of AIs integration into clinical workflows with human decision makers necessitates novel frameworks for evaluating AI models. We aim to address gaps in current AI evaluation practices by developing context-aware decision-focused and impact-driven methodologies. These include: benchmarks tailored to clinical use cases evaluation approaches that account for human-AI interaction and methods for assessing deployment readiness and clinical utility.
This work lies at the intersection of healthcare AI/ML and operations research (OR). This position offers an opportunity to contribute to research aimed at improving clinical and operational care delivery and patient safety through the development and evaluation of integrated AI/OR methods. Our research broadly explores the application of predictive prescriptive and generative AI techniques in various healthcare domains including medication management and error reduction clinical decision-making and care coordination. Our existing collaboration network provides a rich environment for (1) identifying concrete use cases for AI evaluation methodologies and (2) validating the practical utility of our proposed approaches with clinical experts.
The postdoctoral researcher will play a central role in designing implementing and validating evaluation strategies that are both scientifically rigorous and practically useful. They will lead and contribute to the preparation of manuscripts for submission to top-tier journals in healthcare AI/ML and OR and will play an active role in developing grant proposals for major funding agencies. A key goal is the design and development of deployable scalable evaluation tools that can be adapted across a range of clinical contexts. The researcher will also have the opportunity to present their work at leading conferences and workshops engaging with both academic and clinical communities to shape the conversation around trustworthy real-world AI in healthcare.
The position will involve close collaboration with Professors Rema Padman and Holly Wiberg as well as external clinical collaborators. It offers an exciting opportunity to contribute to research that informs real-world AI adoption in healthcarewith the potential for high scholarly and real-world impact.
About Heinz College
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is a multi-disciplinary academic unit that values problem-driven research. Faculty research programs are motivated by important societal problems and pursue a variety of different approaches (e.g. empirical quantitative modeling computational analysis and theoretical). A collection of research centers provides collaboration opportunities as well as the support required to make an impact on policy makers. Heinz College offers a strong community of support for postdoctoral researchers with opportunities to connect with faculty and researchers across the college and broader campus. Please see for additional information.
Ideal candidates will have significant AI/ML and optimization experience leveraging both model-based and data driven approaches to decision making and strong programming skills. We are seeking researchers who have a passion for applying these methods in healthcare and are committed to responsible model and methods development and deployment. Applicants should have received a Ph.D. within the last two yearsor expected by September 2025in Operations Research Operations Management Computer Science (AI/ML) Biomedical Informatics or a related field. The award includes a competitive post-doctoral fellowship and up to $5000 for research-related travel expenses. The award is for a 12-month period.
Employment Type
Grant
