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Mount Sinai Morningside · 3 months ago

Postdoctoral Fellow-MSH-32910-027

New York, NY

Full-time

Onsite

Mid, Senior Level

$72K/yr - $80K/yr

Mount Sinai Morningside is seeking a postdoctoral fellow to focus on time-series modeling and wearable/mobile health data in the context of women’s health. The fellow will design and evaluate AI methods for high-frequency, longitudinal, and real-world data streams, collaborating with clinicians and data scientists to enable translational insights.

Hospital & Health Care

H1B Sponsor Likely

Responsibilities

Develop and refine machine learning methods for wearable, mobile health, and longitudinal data

Design robust approaches to handle missingness, irregular sampling, and multimodal integration

Collaborate with clinical partners to ensure models are interpretable and clinically actionable

Lead manuscripts, presentations, and contributions to open-source pipelines

Qualification

Time-series modelingWearable/mobile health analyticsPythonPyTorchLongitudinal data analysisClinical datasets experienceFHIR standards familiarityMultimodal learning backgroundCommunication skillsTeamwork skills

Required

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

Strong expertise in time-series modeling, wearable/mobile health analytics, or longitudinal data analysis

Proficiency in Python and PyTorch

Demonstrated publication record in ML/AI or computational health

Strong communication and teamwork skills

Preferred

Experience with clinical or biomedical datasets

Familiarity with FHIR standards

Background in multimodal learning or representation learning

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

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