Medasource · 6 hours ago
Clinical Data Analyst
New Jersey, United States
Contract
Hybrid
Mid, Senior Level
$60/hr - $62/hr
3+ years expMedasource is seeking an experienced Observational Health Data Analyst to join their Global Epidemiology group. The role involves leading the analysis of diverse observational healthcare datasets, focusing on Lupus, to provide high-quality insights that support scientific and strategic decision-making.
Health CareMedical
Hiring Manager
Alexandra Hanson
Responsibilities
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
Partnering with data owners to review data and ensure understanding across multiple data sources (mostly registry data)
Running analyses on already-standardized observational data (converted to OMOP/Common Data Model formats)
Translating scientific or business questions into structured data queries and actionable insights
Engaging in regular collaboration with epidemiologists, clinicians, and data partners across Europe
Managing analysis timelines, priorities, and documentation to ensure reproducibility and transparency
Qualification
Required
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
Preferred
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
Benefits
Benefits/401K included
Company
Medasource
Medasource is a hospital & health care company specializing in population health management and clinical engineering services.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Abimbola ojo
EPIC OPTIME/ ANESTHESIA Consultant at Ascension
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