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Postdoctoral Fellow-MSH-32910-027

Mount Sinai Health System

New York, New York, United States FULL_TIME April 09, 2026
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Vacancy Description


Description

We are 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, with the goal of enabling translational insights in collaboration with clinicians and data scientists.


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.

    • Qualifications

    Requirements

  • PhD in computer science, biomedical informatics, electrical engineering, statistics, or related field.
  • Strong expertise in time-seri...

    • Ready to Apply?

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    Vacancy Details

    Location New York, New York
    Country United States
    Type FULL_TIME
    Category Life Scientists
    Posted April 09, 2026

    About Mount Sinai Health System

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    Mount Sinai Health System

    New York, United States

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