Post-Doc Research Associate

Vacancy ID: PDS004967

Position Summary/Description:

This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models. Responsibilities will include processing and curating large clinical datasets; developing reproducible computational pipelines; conducting internal and external validation studies; evaluating model discrimination, calibration, and robustness; and working with collaborators to interpret study findings. The successful candidate will be expected to lead or make substantial contributions to peer-reviewed publications, conference presentations, and research reports; assist with preparation of grant proposals and regulatory or data-governance materials; document and share research software; and participate actively in interdisciplinary research meetings. Depending on experience and interests, the individual may also mentor graduate and undergraduate researchers and contribute to collaborative projects involving computer science, biomedical engineering, radiology, cardiology, and population health. This position is intended to provide advanced research training and professional development toward an independent career in academic research, industry, or translational biomedical AI.

Education and Experience:

A strong publication record in relevant journals or conferences. Prior experience collaborating with collaborators, mentoring junior researchers, or contributing to grant applications.