Postdoctoral Fellow-MSH-32030-004

Mount Sinai Health System • New York, NY

8d • $74,692 - $80,000 • Onsite

About The Position

We are seeking a highly motivated Postdoctoral Research Fellow to join the Medical Intelligence lab and contribute to research at the intersection of medical imaging analysis and machine learning. The successful candidate will design, train, and validate deep learning models on clinical imaging data, publish in leading venues, and collaborate with clinicians, data scientists, and engineers. This role is well suited to someone who wants to translate methodological advances into tools with real clinical impact.

Requirements

• PhD in a relevant field.
• Experience in designing, training, and validating deep learning models.
• Experience with clinical imaging data.
• Strong publication record in leading venues.
• Ability to collaborate with clinicians, data scientists, and engineers.
• Experience with large-scale vision-language model development.
• Experience with multimodal reasoning over medical images and associated text.
• Experience with scalable pretraining, efficient fine-tuning, and robust evaluation.
• Experience with retinal imaging (fundus photography and OCT).
• Experience with transferring models to downstream tasks with limited labeled data.
• Experience applying and adapting models to real-world clinical problems.

Responsibilities

• Design, train, and validate deep learning models on clinical imaging data.
• Publish in leading venues.
• Collaborate with clinicians, data scientists, and engineers.
• Design and train large multimodal vision-language models that jointly reason over medical images and associated text (reports, clinical notes, structured data), with an emphasis on scalable pretraining, efficient fine-tuning, and robust evaluation.
• Build and adapt a foundation model for retinal imaging (fundus photography and OCT) that can be pretrained on large image collections and transferred efficiently to a range of downstream tasks with limited labeled data.
• Apply and adapt these models to real-world clinical problems, including systemic and hematologic conditions such as multiple myeloma and sickle cell disease, where retinal and multimodal biomarkers may support early detection, risk stratification, and disease monitoring.
• Help move the group's work from general-purpose model development toward validated, clinically relevant tools, working closely with clinical collaborators throughout.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree