Clinical AI Postdoc: Prostate Imaging & Radiology

Mount Sinai

United States

On-site

USD 73,000 - 80,000

Full time

14 days+
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Job summary

Mount Sinai Health System in New York, NY, invites applications for a Physician-Scientist Postdoctoral Research Fellow in Multimodal AI for Prostate Cancer Imaging within the Radiology AI & Informatics Group. You will lead clinical-data driven AI projects and collaborate with radiology, pathology, and urology experts to translate AI tools into clinical practice.

The position focuses on curation of multimodal imaging and EHR data, study design, and validation of AI models for detection and

Qualifications

  • MD or MD/PhD required.
  • Strong interest in medical AI and translational research.
  • Excellent ability to collaborate across clinical and technical teams.
  • Radiology training with prostate mpMRI and PI-RADS preferred.
  • Clinical-research methodology experience preferred.

Responsibilities

  • curating and quality-controlling multimodal imaging and clinical datasets from PACS and the EHR.
  • defining study cohorts through chart review and clinical phenotyping and linking imaging to reference standards such as biopsy and whole-mount pathology.
  • developing annotation protocols/pipeline and establish ground truth.
  • designing clinical validation and reader studies with appropriate endpoints and analysis plans.
  • coordinating and managing radiology fellows and attending radiologists in multi-reader studies.
  • analyzing diagnostic-performance results and lead manuscripts, abstracts, and grant applications.

Skills

Medical AI interest
Clinical-technical interface
Radiology training
PI-RADS familiarity

Education

MD or MD/PhD

Tools

Programming

Job description

Mount Sinai Health System in New York, NY, invites applications for a Physician-Scientist Postdoctoral Research Fellow in Multimodal AI for Prostate Cancer Imaging within the Radiology AI & Informatics Group. You will lead clinical-data driven AI projects and collaborate with radiology, pathology, and urology experts to translate AI tools into clinical practice.

The position focuses on curation of multimodal imaging and EHR data, study design, and validation of AI models for detection and

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