Mount Sinai Health System

Data Analyst II - Windreich Department of AI & Human Health Research

Mount Sinai Health System New York, New York, United States

Hospitals and Health Care · 10,001+ employees

6 h ago
data-analyst Mid (2-5 yrs) Full-time United States
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About the role

The Data Analyst II oversees data integrity, security, and organization while developing analytic reports to support clinical and administrative needs. They will work within a research lab to apply machine learning and predictive modeling to large-scale clinical datasets.

What they look for

Data Analysis Machine Learning Natural Language Processing Large Language Models Python R Predictive Modeling Data Management EHR Standards OMOP Deep Learning PyTorch TensorFlow Hugging Face Transformers Statistical Analysis Database Management

Requirements

A bachelor's degree in computer science, statistics, or a related field is required, with a master's degree preferred. Candidates must have at least 3 years of analytics experience, preferably in a healthcare environment, along with proficiency in programming languages like Python or R.

Full description

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).

The Data Analyst II oversees activities related to data integrity, security and enhancement of the value of data. The Data Analyst II may direct the movement of data across multiple systems; oversee its validation and organization and make sure that data is available to appropriate people and systems within an organization. The Data Analyst II will also develop and execute reports that will be important assets of the practice as they continue to develop and evaluate a new model of care.

Responsibilities

This position will be in the lab of Dr. Lili Chan housed in the Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA.

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. 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.

  • Work with the clinical and administrative staff of the practice to define data reporting needs
  • Develop analytic reports that are easily understandable by clinical and administrative staff.
  • Use modeling techniques and tools in analyzing and specifying data structure
  • Implement best practices in data management to ensure the integrity of the data, the quality of data processes and deliver analyzable or analyzed data to a variety of internal and external clients of the affiliated practice
  • Maintain data integrity and completes data analysis as necessary
  • Complete data capture, data extraction and analysis
  • Develop, maintain or implement procedures for data entry, data cleaning, documentation and other administrative tasks
  • Document, implement, maintain or recommend operating methods to improve processing, distribution, data flow, collection, database editing procedures
  • May define parameters for file or space utilization
  • Work closely with IT management and staff
  • Access data in the Data Warehouse, as required
  • Assist clinical and administrative staff with queries, statistical analyses, reports and technical difficulties related to data retrieval
  • Design and write custom applications needed to ensure the database meets requirements for the entry, management and reporting of data
  • Identify and recommend solutions to data management issues
  • Maintain knowledge of the current regulations and technologies related to data management
  • Write and prepare manuscripts and other materials for internal and external audiences
  • Perform other related duties
  • Help to build and perpetuate a practice environment and culture of collaboration, respect, learning, flexibility and fun among all team members

Qualifications

  • Bachelors degree in computer science, statistics and/or related field required, or combination of equivalent work experience and education. Masters degree in relevant field of study preferred (e.g., biomedical informatics, clinical informatics, statistics, epidemiology, computer science, etc.).
  • 3+ years of analytics experience including report development and database application/management experience, preferably in a large medical center or healthcare environment

Preferred:

  • Significant experience in large language models (LLMs), natural language processing (NLP), and machine learning is preferred, ideally demonstrated through published research and/or publicly available code. Expertise in developing, fine-tuning, evaluating, and deploying LLMs is preferred, including experience with modern deep learning frameworks and LLM tooling (e.g., PyTorch, Hugging Face Transformers, TensorFlow) and techniques such as prompt engineering, retrieval-augmented generation (RAG), and model evaluation.
  • Expertise with programming and statistical software experience in R and/or Python.
  • Formal computer science, statistics, or epidemiological training is a strong advantage.
  • Familiarity with the publication process.

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.

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