Senior Quantitative Scientist

Pedestal Health • Research Triangle Park, NC

1d • Hybrid

About The Position

The Senior Quantitative Scientist will be a foundational member of Pedestal Health’s Quantitative Sciences organization, helping establish the company as a leader in rigorous, reproducible, and regulatory-grade evidence generation. The role serves as a scientific owner of Pedestal Health’s data, developing expertise in its structure, quality, provenance, strengths, limitations, and applications while building scalable data validation, curation, and analytic processes.

Working with Product, Engineering, Clinical Operations, Medical Science, Commercial, and Data Insights teams, the scientist will design and execute analyses that demonstrate the value of Pedestal Health’s data, support customers in life sciences, regulatory, and academic settings, and develop standardized analytic approaches for real-world evidence generation. The work includes supporting retrospective and prospective studies, creating reusable analytic frameworks, ensuring reproducibility, communicating findings to varied audiences, and contributing to publications and collaborations.

Requirements

• Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field.
• 5–10+ years of experience working with real-world data, such as EMR, claims, registry, or clinical trial data.
• Strong programming expertise in R and experience with reproducible analytic frameworks.
• Expertise in data quality assessment, validation, and curation workflows.
• Ability to build and maintain reproducible coding practices and scalable analytic processes that support efficiency, transparency, and consistency across studies.
• Strong communication, presentation, and collaboration skills with cross-functional technical and scientific teams.
• Ability to translate data insights into actionable scientific or business recommendations.

Responsibilities

• Ensure Pedestal Health’s data are accurate, complete, and suitable for regulatory and scientific use.
• Develop deep expertise in the structure, provenance, strengths, limitations, and applications of Pedestal Health’s data.
• Design and implement data validation frameworks, data quality checks, and fitness-for-use assessments.
• Create and maintain data dictionaries and documentation that promote transparency and reproducibility.
• Support the design and execution of retrospective and prospective studies using Pedestal Health’s data assets.
• Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses.
• Build scalable, reusable analytic frameworks and modular code structures for consistent execution across therapeutic areas and data products.
• Apply methodological best practices, version control, code review, and documentation to ensure reproducibility.
• Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences.
• Contribute to publications, abstracts, and collaborations that advance Pedestal Health’s scientific reputation and influence.
• Partner with cross-functional teams to align data strategy and analytic priorities with customer needs and business goals.
• Represent the customer perspective by anticipating how clients, regulators, and researchers will use Pedestal Health’s data.
• Participate in client and partner meetings to demonstrate the validity and value of the company’s data products.
• Guide internal teams and external partners on data assets, analytical and operational challenges, and data-use strategies.
• Prepare client-facing materials that explain data quality, representativeness, and scientific utility.

Benefits

• Hybrid work, with three days per week in the office.
• Comprehensive health, dental, and vision coverage for the employee and family.
• 401(k) with company match.
• Generous paid time off and company holidays.
• Paid parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior