Research Analyst
- Serve as the primary or validation programmer for up to 4 client-facing RWE observational studies.
- Build data queries and conduct data analyses using the TriNetX Research Platform.
- Program to implement data development (subject identification, inclusion and exclusion criteria) to support research projects. Carry out patient attrition, descriptive analyses, and outcomes analyses involving advanced methods.
- Discuss results with research leads and client study teams.
- Contribute to the development of study proposals, protocols, reports, code lists, abstracts, and manuscripts.
- Support standardization of documentation and maintenance of coding programs.
- Support internal research projects.
- Co-author scientific papers with colleagues, collaborators, and clients.
- Advanced degree in a health-related or quantitative discipline strongly preferred; undergraduate degree with significant professional experience will be considered.
- Working knowledge of SAS and SQL required. Experience with Databricks, Python, or R a plus.
- Proficiency in Microsoft Office Excel.
- Experience with real-world data (e.g., EMR, open and closed insurance claims) and implementing complex methodologies for the conduct of observational studies.
- Knowledge of and experience working with medical and billing code systems.
- Ability to plan, organize, and execute multiple tasks simultaneously while maintaining accuracy and attention to detail.
- Excellent communication skills
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