Data Analyst I - Population Health Science & Policy Research (On Site)

Mount Sinai Health System•New York, NY
•Onsite

About The Position

The Data Analyst I implements data management practices that improve data quality, streamline data cleaning, and deliver analyzable databases within project timelines. The role primarily supports the quantitative component of AIM-UP, a research project studying how evidence-based adolescent pregnancy prevention programs are adapted for diverse populations and settings. Using individual student survey data from nine implementation projects involving more than 17,000 participants across Indiana, the analyst helps manage, integrate, and analyze data to examine relationships between program adaptations and participants’ knowledge, attitudes, skills, intentions, and behaviors. The analyst also works with a statistical core supporting the Department of Surgery. Responsibilities include research data management, development of analysis plans, statistical analyses, and preparation of tables, figures, and manuscript methods and results sections. Other projects may involve similar data management and analytical work in collaboration with investigators and under statistical guidance.

Requirements

  • Bachelor’s degree in computer science, statistics, or a related field, or an equivalent combination of work experience and education.
  • 2–3 years of database application or management experience, preferably in a large medical center or healthcare environment.

Nice To Haves

  • Master’s degree in a relevant field of study.
  • Experience using REDCap.
  • Experience with the R programming language and R data visualization.
  • Graduate-level coursework in statistics.

Responsibilities

  • Designs and writes custom applications to ensure databases meet requirements for data entry, management, and reporting.
  • Assists in developing data management plans and guidelines to deliver accurate, timely, and quality data, and assures compliance with quality control processes.
  • Identifies and implements solutions to data management issues that arise during research studies.
  • Assists staff with technical issues related to electronic and remote record-keeping systems and trains staff to improve the quality of collected data.
  • Assists medical students, interns, residents, and/or program faculty with queries and statistical analyses.
  • Maintains knowledge of current regulations and technologies related to data management.
  • May write and prepare manuscripts and other materials for internal and external audiences.
  • Uses R to clean, merge, and efficiently process large, complex research datasets, and uses SQL to query and retrieve data as needed.
  • Develops automated data quality reports, tables, and figures using R Markdown or Quarto.
  • Uses the REDCap API to automate data imports and exports, as appropriate.
  • Uses Git or other version control tools to maintain documented code and support collaborative programming.
  • Prepares and supports analyses of longitudinal and clustered research data, including repeated measurements and data collected across schools or study sites.
  • Performs other related duties.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service