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

Job in New York, Caldwell County, Missouri, USA
Listing for: DataAnalystJobs
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
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 Bio Me 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.…
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