Open Postdoctoral position, faculty mentor Morad Hameed

Postdoctoral Training Position Summary: 
The Stanford Trauma Systems Data Science Postdoctoral Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and advanced analytics to develop novel approaches that improve patient outcomes and expand access to life-saving surgical interventions. The fellowship includes opportunities for mentorship, professional development, publication in high-impact journals, and presentation at national and international conferences. By combining rigorous scientific inquiry with real-world clinical applications, this fellowship prepares the next generation of leaders in surgical data science to address some of the most pressing challenges in trauma care and public health.

Postdoctoral Training Position Description: 
Acute care surgery is a foundational surgical subspecialty that provides a critical rescue function for both health systems and society, encompassing trauma, emergency general surgery, and surgical critical care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial intelligence as applied to trauma systems and acute care surgery. Fellows will engage in cutting-edge research spanning multiple domains, including risk prediction models for surgical complications, clinical decision support systems, process control and quality improvement initiatives, and health policy analysis. The program emphasizes both methodological rigor and translational impact, with projects addressing critical questions in access to trauma care, intelligent systems for injury prevention, and strategies to reduce disparities in surgical outcomes across diverse populations. Working within Stanford's exceptionally creative and collaborative academic environment, fellows will have access to world-class resources and expertise spanning the Department of Surgery, the Stanford Center for Biomedical Informatics Research, the Institute for Computational and Mathematical Engineering, the Human-Centered Artificial Intelligence initiative, and numerous other interdisciplinary partners across campus. This rich intellectual ecosystem fosters innovation and enables fellows to design and implement data-driven solutions that directly advance our vision: to create a future where all patients and populations have timely access to high quality surgical rescue.