Apply on Employer Site

Mount Sinai Morningside · 2 months ago

Postdoctoral Fellow-MSH-32910-026

New York, NY

Full-time

Onsite

Senior Level

$72K/yr - $80K/yr

Mount Sinai Morningside is seeking a highly motivated postdoctoral fellow to join their interdisciplinary lab focused on advancing women’s health through AI methods. The fellow will develop computer vision techniques and collaborate with clinicians to create impactful translational AI tools.

Hospital & Health Care

H1B Sponsor Likely

Responsibilities

Develop and adapt computer vision and multimodal deep learning methods for medical data (radiology, pathology, genomics, EHR)

Collaborate with clinicians and technical researchers to translate methods into clinically relevant tools

Lead and co-author manuscripts, conference presentations, and grant proposals

Mentor students and contribute to building a collaborative, open lab culture

Qualification

Computer visionMultimodal deep learningPythonPyTorchMedical imagingPublication record in ML/AIInterest in women's healthClinical datasetsOMOPCommunication skillsCollaboration skills

Required

PhD in computer science, biomedical engineering, electrical engineering, or related field

Strong background in computer vision, medical imaging, or multimodal deep learning

Proficiency in Python and PyTorch

Demonstrated publication record in ML/AI or computational health

Strong communication and collaboration skills

Preferred

Experience with clinical or biomedical datasets

Familiarity with OMOP Common Data Model

Interest in women's health and translational research

Company

Mount Sinai Morningside

At Mount Sinai Morningside, we offer exceptional clinical care and research within the comfort of a neighborhood hospital known for compassion and sensitivity.

Founded in 1846

New York, US

1001-5000 employees

http://www.mountsinai.org/morningside

H1B Sponsorship

Mount Sinai Morningside has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (5)

2024 (3)

2023 (26)

2022 (20)

2021 (6)

2020 (20)

Funding

Current Stage

Late Stage

Leadership Team

Faye Reiff-Pasarew

Deputy CMO, Associate Chief of Hospital Medicine, Assistant Professor of Internal Medicine

Lucy Xenophon, MD, MPH

Chief Transformation Officer

Company data provided by crunchbase