Northwestern University - The Feinberg School of Medicine is offering a postdoctoral scholar position in computational pathology, supervised by Dr. Jeff Goldstein and with collaboration opportunities with Dr. Lee Cooper. The research focuses on developing software systems for pathology image analysis, particularly in the classification of stillbirth and perinatal pathology. The position involves working with large-scale medical imaging data, applying deep learning and machine learning techniques, and collaborating with an interdisciplinary team of pathologists, computational scientists, and software engineers.

The Division of Computational Pathology at Northwestern provides a vibrant research environment with access to a large institutional repository of over 100,000 diagnostic and clinical images, advanced AI tools, and a platform for image viewing, annotation, and data management. The fellow will have opportunities to interact with faculty from the Department of Pathology, Prentice Women’s Hospital, the Lurie Cancer Center, and the McCormick School of Engineering.

Key responsibilities include developing methods for analyzing pathology images, maintaining project software repositories, managing research datasets, collaborating with other researchers, manuscript development, and presenting research at conferences and symposia. Candidates must have a PhD in computer science, computer engineering, electrical engineering, or biomedical engineering, with strong research experience in machine learning, computer vision, and deep learning. Additional requirements include experience with medical images, advanced Python programming, Git version control, and Linux-based systems. Preference is given to recent US graduates or those currently employed in the US. Experience with software optimization and large-scale datasets is preferred.

While no explicit funding details are provided, postdoctoral positions at Northwestern University typically include salary and benefits. Interested applicants should apply via the Northwestern University careers site and may contact the supervisors for further information.