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Mount Sinai Health System

Data Analyst I - Artificial Intelligence & Human Health

Mount Sinai Health System
United States · Full-time · Not Applicable

Description

The Data Analyst I is responsible for implementing best information technology data management practices in an effort to improve and ensure quality, streamline data cleaning efforts and deliver analyzable databases within agreed upon project timelines.

We are inviting applications for a Data Analyst position in data science and machine learning with a specific interest in applications to clinical data, including electronic health records (EHR).

Key topics of interest include but are not limited to: natural language processing, large language models, predictive modeling for disease outcomes and personalized therapeutic recommendations, working with common data model EHR standards (e.g., OMOP), multi-modal (e.g., genomics, imaging, and clinical data) deep learning for clinical decision support, unsupervised learning to discover biologically-relevant disease subtypes, among others. We have an interest in many disease domains including nephrology, cardiology, radiology, psychiatry, and others.

Data And Resources

Data resources include (a) Access to >8 million patient records in the Mount Sinai Data Warehouse (b) The BioMe Biobank Program with >30,000 patients with whole exome sequencing data linked to longitudinal clinical data. The candidates will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations.

The analyst will join a dynamic team of data scientists, geneticists, and clinicians and participate in unique opportunities to apply deep learning for important scientific breakthroughs and to directly impact patients’ lives in a clinical setting.

Responsibilities

  • Designs and writes custom applications needed to ensure the database meets requirements for the entry, management and reporting of data.
  • Assists in the development of data management plans and guidelines that will deliver accurate, timelines consistent with quality data. Assures the quality control compliance process.
  • Identifies and implements solutions to data management issues and concerns that arise during the conduct of research studies.
  • Assists staff with technical issues related to electronic and remote record keeping systems; trains staff to help improve quality of data collected.
  • Assists medical students, interns, residents and/or program faculty with queries and generating statistical analyses.
  • Maintains knowledge of the current regulations and technologies related to data management.
  • May write and prepare manuscripts and other materials for internal and external audiences.
  • Performs other related duties.

Qualifications

  • Bachelors degree in computer science, statistics and/or related field, or combination of equivalent work experience and education. Masters degree in relevant field of study preferred.
  • 2-3 years database application/management experience, preferably in a large medical center or healthcare environment. Experience in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc.) and Expertise with programming and statistical software experience in R and/or Python are preferred.
  • Significant experience in biostatistics/machine learning techniques is preferred, ideally with published work and/or code available. Expertise with deep learning frameworks is preferred (e.g., TensorFlow, PyTorch, Keras). also preferred.

Employer Description

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About The Mount Sinai Health System

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $66482.07 - $74250 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Key Skills

Ranked by relevance

deep learning machine learning natural language processing artificial intelligence data warehouse tensorflow pytorch python unity keras
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Posted
Feb 10, 2026
Type
Full-time
Level
Not Applicable
Location
New York

Industries

Hospitals Health Care

Categories

Information Technology

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