The Musculoskeletal Digital Innovation and Informations (MDI2) Program in the Department of Orthopedics and Sports Medicine at Boston Children's Hospital and Harvard Medical School has an immediate opening for an outstanding, highly motivated Postdoctoral Research Fellow to work on several image processing and modeling projects to assist with clinical decision making in patients with spinal deformities. The Postdoctoral research fellow will collaborate with a multidisciplinary team comprising biomedical engineers, orthopedic surgeons, and computer and data scientists to develop algorithms for analyzing medical images (e.g., MRI and CT). This fellowship opportunity is primarily focused on translational research with an immediate impact on the clinical care of patients with a range of spinal conditions, through the publication of novel findings and the development of computational tools used by clinicians. The postdoctoral fellow will have joining appointments at Boston Children's Hospital and Harvard Medical School and will benefit from access to the largest medical R&D community in the world (Longwood/Boston), along with numerous career development resources offered by Harvard University and its affiliated hospitals and research centers. 

This is a full-time, three-year position, renewable annually based on the applicant's performance. Interested applicants, please send your CV along with a copy of a technical paper, a paragraph including a statement of goals, and contact information for three references to MDI2.Program@childrens.harvard.edu

PhD or MD/PhD in STEM (CS, Mech, EE, Biomed) or related fields with a strong background in Analytical Geometry, Medical Imaging Processing, and Computer Modeling. 

Expertise with computer simulations (I.e., 3D morphological and alignment analyses).

Expertise with Python

Expertise with Medical Images

Excellent Communication skills in English.

Desired Skills and Experience: Experience with Generative AI and Large Vision Models, experience with finite element analysis, and basic knowledge of human spine anatomy, biomechanics, and pathology.