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Target RWE Logo

Senior Quantitative Data Scientist

Target RWE

Salary not specified
Dec 4, 2025
Raleigh, NC, US
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At Target RWE, the business problem is to establish the company as a leader in rigorous, reproducible, and regulatory-grade evidence generation by leveraging real-world data to advance clinical research and inform better healthcare decisions.

Requirements

  • Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field
  • Strong programming expertise in R
  • Experience with reproducible analytic frameworks
  • Proven expertise in data quality assessment, validation, and curation workflows
  • Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies
  • 5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data)

Responsibilities

  • Establish Target’s data as a trusted, validated scientific asset
  • Ensure Target’s data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis
  • Apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target’s data assets
  • Support the design and execution of retrospective and prospective studies using Target’s data assets
  • Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses
  • Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products
  • Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences

Other

  • Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field
  • Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams
  • Demonstrated ability to translate data insights into actionable scientific or business recommendations
  • Hybrid + remote work environment
  • Comprehensive health, dental, and vision for you and your family