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

Mount Sinai Health Systems•New York, NY
•$66,482 - $74,250•Onsite

About The Position

The Data Analyst I implements information technology data management practices to improve data quality, streamline cleaning, and deliver analyzable databases within project timelines. The role primarily supports the quantitative component of AIM-UP, a research project examining 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 how program adaptations relate to participants’ knowledge, attitudes, skills, intentions, and behaviors. The analyst also contributes to a statistical core supporting the Department of Surgery, assisting with research data management, analysis-plan development, statistical analyses, and preparation of tables, figures, and manuscript methods and results sections. Additional 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.
  • Completion of graduate-level coursework in statistics.

Responsibilities

  • Design and write custom applications to ensure databases meet requirements for data entry, management, and reporting.
  • Assist in developing data management plans and guidelines that deliver accurate, timely, quality data, and assure quality-control compliance.
  • Identify and implement solutions to data management issues that arise during research studies.
  • Assist staff with technical issues related to electronic and remote record-keeping systems, and train staff to improve data quality.
  • Assist medical students, interns, residents, and/or program faculty with queries and statistical analyses.
  • Maintain knowledge of current regulations and technologies related to data management.
  • May write and prepare manuscripts and other materials for internal and external audiences.
  • Use R to clean, merge, and efficiently process large, complex research datasets, and use SQL to query and retrieve data as needed.
  • Develop automated data quality reports, tables, and figures using R Markdown or Quarto.
  • Use the REDCap API to automate data imports and exports, as appropriate.
  • Use Git or other version control tools to maintain documented code and support collaborative programming.
  • Prepare and support analyses of longitudinal and clustered research data, including repeated measurements and data collected across schools or study sites.
  • Perform other related duties.
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