Quantitative Scientist

Overview

Pedestal Health (formerly Target RWE) combines deep health system partnerships, longitudinal data curation at scale, and modern study design to build continuous, high-quality evidence for life sciences organizations. The company partners with pharmaceutical and biotech companies, providers and payers to generate rigorous, multimodal evidence that supports clinical, regulatory and strategic decision-making across the full lifecycle of care. Pedestal Health is committed to advancing medical decision making to improve outcomes for patients.

What You’ll Do

• Data Quality and Stewardship
• Help ensure Pedestal's data are accurate, complete, and ready for analysis.
• Contribute to data validation, quality checks, and “fitness-for-use” assessments.
• Develop growing expertise in Pedestal’s data structure, provenance, strengths, and limitations.
• Support the creation and upkeep of data documentation, dictionaries, and metadata.
• Aid in developing scalable processes that promote trust, transparency, and reproducibility.
• Analytical Excellence
• Support rigorous, reproducible real-world evidence generation.
• Assist in the design and execution of retrospective and prospective analyses using Pedestal Health 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.
• Help transform analytic findings into clear visualizations, summaries, and insights.
• Support the development of publications, abstracts, and scientific presentations.
• Cross-Functional Collaboration
• Work closely with internal teams to translate data into scientific and strategic value.
• Collaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams to align on data strategy and analytic priorities.
• Participate in internal discussions and occasional client meetings to support data interpretation and analytic understanding.
• Share insights about Pedestal’s data assets to help inform decision-making, product development, and customer-facing materials.

What You’ll Bring

• Advanced degree (MS or PhD) in in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience).
• 2–5 years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
• Strong programming skills in R and 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.
• Excellent communication and collaboration skills with technical and scientific partners.
• Ability to translate analytic outputs into clear, actionable insights.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role

Located in Research Triangle Park, North Carolina

Equal Opportunity Employer