At Target RWE, the business problem is to leverage real-world data to advance clinical research and inform better healthcare decisions, ensuring that Target's data are reliable, well-understood, and ready for scientific and regulatory use.
Requirements
- Strong programming skills in R
- Familiarity with reproducible analytic workflows
- Experience with data cleaning, validation, quality checks, or curation processes
- Demonstrated ability to write clear, maintainable, well-documented code
- Strong analytical, problem-solving, and conceptual thinking skills
- Experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data)
Responsibilities
- Help ensure Target’s data are accurate, complete, and ready for analysis.
- Contribute to data validation, quality checks, and “fitness-for-use” assessments.
- Support rigorous, reproducible real-world evidence generation.
- Assist in the design and execution of retrospective and prospective analyses using Target RWE datasets.
- Write analytic code for descriptive, comparative, and predictive analyses under the guidance of senior scientists.
- Contribute to scalable and reusable analytic workflows and code structures.
- Apply best practices in coding, version control, methodology selection, and documentation.
Other
- Master’s degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience)
- 3–5 years of experience working with real-world data
- Excellent communication and collaboration skills with technical and scientific partners
- Ability to translate analytic outputs into clear, actionable insights
- Hybrid + remote work environment, located in Research Triangle Park, North Carolina
