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Observational Health Data Analyst

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Medasource

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Location:
United States , Spring House

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

60.00 USD / Hour
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Job Description:

The Client’s Global Epidemiology group is collaborating with a leading external data network on a major initiative focused on LUPUS. We are seeking an experienced OBSERVATIONAL HEALTH DATA ANALYST to lead the analysis of diverse observational healthcare datasets. This is a high-impact role that requires a sharp analytical mind, deep understanding of real-world health data, and the technical skills to deliver high-quality insights that drive scientific and strategic decision-making. The ideal candidate is a SELF-STARTER, TEAM PLAYER, and PROBLEM SOLVER with a passion for working with complex, real-world data to answer meaningful health questions.

Job Responsibility:

  • Lead and manage the analysis of observational health data across a federated data network
  • Perform data characterization, data quality assessments, and recommend improvements for data quality
  • Develop and apply statistical methodologies and database programming techniques using R and SQL
  • Collaborate with European registry sites and data owners, crafting and sending detailed queries to better understand and interpret the data
  • Evaluate incoming site-level results for consistency and data quality
  • provide written recommendations for data cleaning or refinement
  • Use observational data to answer key research questions related to the safety, effectiveness, and potential use of drug products in the Lupus therapeutic area
  • Write analytic code and build visualizations using the OHDSI tool stack and relevant R packages
  • Contribute to internal documentation, reporting, and presentations for cross-functional stakeholders

Requirements:

  • 3–5 years of hands-on experience analyzing observational health data or working with real-world data (RWD) in healthcare
  • Strong proficiency in R and SQL for data analysis and statistical modeling
  • Demonstrated experience working with registry data and federated data networks
  • Familiarity with Observational Outcomes Partnership (OOP) data models or similar standard data models (e.g., OMOP CDM)
  • Experience conducting data quality assessments, exploratory data analysis, and generating insights from complex data sets
  • Excellent communication skills, especially in working with external collaborators and non-technical stakeholders

Nice to have:

  • Hands-on experience with OHDSI tools and R packages (e.g., Atlas, Achilles, FeatureExtraction, CohortMethod)
  • Prior exposure to OMOP Common Data Model and associated analysis workflows
  • Background in epidemiology, biostatistics, health informatics, or a related quantitative health field
  • Experience working with messy, imperfect healthcare data – strong intuition around data cleaning, validation, and usability
What we offer:
  • competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs
  • 401k plan that includes a company match and is fully vested after you become eligible
  • paid time off, sick time, and paid company holidays
  • Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching

Additional Information:

Job Posted:
February 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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