Post Doc Research Fellow-AI​/ML Medical Image Analysis

Hourly Pay Range:

$0.00 - $0.00 – The hourly pay rate offered is determined by a candidate’s expertise and years of experience, among other factors.

• Position:
  Postdoctoral Research Fellow – AI/ML Medical Image Analysis
• Location:
  
  Evanston, IL
• Full Time/Part Time:
  Full Time
• Hours:
  
  Monday‑Friday, with flexible work schedules

Endeavor Health is seeking a talented Postdoctoral Research Fellow specializing in AI/ML with experience in medical image analysis to join our research enterprise at Endeavor Health Evanston Hospital, an educational affiliate of the University of Chicago (Evanston, IL). This position will establish a cross‑cutting AI/ML imaging core serving four high‑impact research groups: gynecology, urogynecology, obstetrics/pathology, and radiology.

• Design and deploy scalable AI pipelines for automated uterine, placental, pelvic and kidney MRI segmentation.
• Develop multimodal predictive models integrating imaging, molecular, and clinical data to predict chronic pain risk and other clinical outcomes.
• Implement explainable AI (XAI) approaches to ensure transparency and rigor across pipelines.
• Disseminate AI pipelines as shared institutional tools to broaden adoption across research groups.
• Collaborate actively with gynecology, obstetrics/pathology, and radiology teams.
• Regularly review scientific literature and evaluate emerging AI/ML techniques and procedures.
• Co‑author scientific papers for presentation and publication.
• Contribute to grant writing, targeting R01/U01 applications; prepare for independent K‑ and R‑level award applications.
• Present work at institutional seminars and scientific meetings to promote AI/ML adoption.
• Consult with research personnel in research design, AI/ML methodology, and scientific inference.
• As requested, mentor or teach others in AI/ML methods requiring advanced technical knowledge.
• Demonstrate knowledge of Endeavor customer service standards and North Shore University Endeavor policies and procedures applicable to the role.
• Participate in ongoing professional development through workshops, in‑service programs, and professional meetings.
• Perform related duties as required or assigned.

• Education: PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Biomedical Informatics, or closely related field required.
• Experience: Demonstrated expertise in deep learning and computer vision for medical image analysis (MRI, ultrasound, histopathology, or similar modalities). Proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, Tensor Flow, scikit‑learn). A publication record and sample code demonstrating AI/ML image analysis capabilities.
  
  Experience with medical imaging data formats and preprocessing pipelines (e.g., DICOM, NIfTI, ITK/Simple
  
  ITK). Familiarity with explainable AI methods and best practices for model transparency. Experience with or interest in multimodal data integration (imaging, molecular, clinical). Able to work collaboratively across multiple research groups and manage parallel project responsibilities.

• Career Pathways to Promote Professional Growth and Development
• Various Medical, Dental, and Vision options
• Tuition Reimbursement
• Free Parking at designated locations
• Wellness Program Savings Plan
• Health Savings Account Options
• Retirement Options with Company Match
• Paid Time Off
• Community Involvement Opportunities

Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. We are an equal opportunity employer and do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, disability, or veteran status.