Flex Staff - Part Time Data Analyst - Windreich Department of AI & Human Health jobs in United States
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Mount Sinai Morningside · 9 hours ago

Flex Staff - Part Time Data Analyst - Windreich Department of AI & Human Health

Mount Sinai Morningside is a prominent academic medical system in New York, and they are seeking a Flex Staff Part Time Data Analyst to assist in EHR-based and genomic data analyses within the Department of AI and Human Health. The role involves extracting patient-generated health data, collaborating on AI-based patient self-management tools, and ensuring data integrity and security throughout the research process.

Hospital & Health Care
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H1B Sponsor Likelynote

Responsibilities

Help Extract patient-generated health data from MSDW and genotypic and phenotypic data from BioMe Bank, ensuring data integrity, privacy, and security
Assist the data analyst process, clean, and organize datasets for analysis
Collaborate with other lab personnel to train and evaluate large language models
Collaborate with researchers and engineers to design, build, and maintain the backend systems of an AI-based patient self-management App, ensuring robust, scalable, and secure integration of machine learning components for digital health interventions
Oversee and manage the collection, validation, and secure storage of incoming study data, implementing best practices for data integrity, quality assurance, and adherence to research protocols
Facilitate effective communication with study participants and cross-institutional teams, coordinating participant engagement, onboarding, and app-related support to maximize user experience and study retention

Qualification

Cloud platformsContainerization toolsData analysisSecurity best practicesQuantitative methodsInterest in women's healthCommunicationCollaborative workProblem-solving

Required

Depending on the role, a minimum of a high school diploma or GED is required as per MS Health System hiring policy. Otherwise, Bachelors, Masters or Ph.D as applicable
Experience relevant to the position
Knowledge of cloud platforms (such as AWS, Azure, or GCP) and containerization/orchestration tools like Docker and Kubernetes for deploying robust, scalable backend systems
Understanding of security and privacy best practices, especially related to healthcare data (encryption, HIPAA/FHIR compliance, secure authentication, and access controls)
A strong interest in women's health, LLM and healthcare applications
Prior experience in a quantitative methods OR software engineering in a research environment
Excellent communication skills, ability to work collaboratively in a multidisciplinary environment, strong problem-solving abilities

Company

Mount Sinai Morningside

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

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

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Faye Reiff-Pasarew
Deputy CMO, Associate Chief of Hospital Medicine, Assistant Professor of Internal Medicine
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Lucy Xenophon, MD, MPH
Chief Transformation Officer
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Company data provided by crunchbase