Mount Sinai Morningside · 20 hours ago
Postdoctoral Fellow-MSH-32910-028
New York, NY
Full-time
Onsite
Senior Level
$72K/yr - $80K/yrMount Sinai Morningside is a leading academic medical system focused on advancing health through innovative research and education. The Postdoctoral Fellow will work in the Liu Lab to develop interpretable artificial intelligence frameworks that integrate digital health data to advance discovery in complex neurological and psychiatric disorders.
Hospital & Health Care
Responsibilities
Develop and implement AI/ML models for high-dimensional time-series, genomic, and clinical data
Perform data preprocessing, analysis, and integration across multiple modalities
Develop interpretable and explainable ML methods for biomedical applications
Contribute to computational pipelines, reproducible workflows, and internal tools
Prepare manuscripts, figures, and visualizations for publications and presentations
Collaborate with faculty, clinicians, and other researchers across Mount Sinai
Participate in lab meetings, seminars, workshops, and collaborative projects
Qualification
Required
PhD in Computer Science, Computational Biology, Bioinformatics, Statistics, Biomedical Data Science, Neuroscience, or a related quantitative field
Strong programming skills (e.g., Python, R)
Background in machine learning, deep learning, statistical modeling, or related areas
Experience working with large datasets and computational methods
Strong written and oral communication skills
Demonstrated experience in AI/ML, data science, or computational biology
Prior publication record in relevant fields
Preferred
Experience with time-series modeling, genomics, digital health, or multimodal data (preferred but not required)
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
1001-5000 employees
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
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Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (26)
2022 (20)
2021 (6)
2020 (20)
Funding
Current Stage
Late StageLeadership Team
Faye Reiff-Pasarew
Deputy CMO, Associate Chief of Hospital Medicine, Assistant Professor of Internal Medicine
Lucy Xenophon, MD, MPH
Chief Transformation Officer
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