Postdoc in AI/ML Medical Imaging & Analysis

Ns Eeh; Evanston (IL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Career development opportunities

Tuition reimbursement

Health and wellness programs

Paid time off

Competitive retirement plan with match

Free parking at campus

Job summary

Endeavor Health Evanston Hospital seeks a Postdoctoral Research Fellow in AI/ML medical image analysis. You will join four research teams to build an AI imaging core, handling MRI, histology, and multimodal data to support clinical insights and predictive modeling.

You will publish, mentor, and contribute to grant activities while operating in a collaborative, translational research environment that values rigorous methodology and patient-centered outcomes.

Qualifications

• PhD in a relevant field required.
• Expertise in deep learning and computer vision for medical image analysis (MRI/ultrasound/histopathology).
• Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with medical imaging formats (DICOM, NIfTI) and preprocessing (ITK/SimpleITK).
• Familiarity with multimodal data integration and collaboration across groups.

Responsibilities

• Design and deploy scalable AI pipelines for automated MRI, placental, pelvic, and kidney segmentation.
• Develop multimodal predictive models to forecast clinical outcomes.
• Implement explainable AI for transparency and rigor.
• Share pipelines as institutional tools across research teams.
• Collaborate with gynecology, obstetrics/pathology, and radiology teams.
• Contribute to grant writing and grant applications.

Skills

Deep learning

Computer vision

Python

Education

PhD in Biomedical Engineering, CS, EE, Biomedical Informatics, or related

Tools

PyTorch

TensorFlow

scikit-learn

ITK

SimpleITK

DICOM

NIfTI

Job description

Endeavor Health Evanston Hospital seeks a Postdoctoral Research Fellow in AI/ML medical image analysis. You will join four research teams to build an AI imaging core, handling MRI, histology, and multimodal data to support clinical insights and predictive modeling.

You will publish, mentor, and contribute to grant activities while operating in a collaborative, translational research environment that values rigorous methodology and patient-centered outcomes.