Quantitative Scientist
About The Position
In this role, you will be a key contributor within Pedestal Health’s Quantitative Sciences (QS) organization. You will help ensure that Pedestal’s data are reliable, well-understood, and ready for scientific and regulatory use. You will work with cross-functional teams to support high-quality analyses, contribute to data validation and curation processes, and help build scalable analytic workflows that enable efficient and reproducible real-world evidence (RWE) generation. Working closely with partners across Product, Engineering, Clinical Operations, Medical Science, and Commercial teams, you will support the design and execution of analyses that demonstrate the value of Pedestal’s data, inform research questions, and contribute to scientific and client-facing deliverables.
Requirements
- 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 (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.
Responsibilities
- 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.
- Assist in developing scalable processes that promote trust, transparency, and reproducibility.
- 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.
- 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.
Benefits
- Comprehensive health, dental, and vision for you and your family
- 401(k) with company match
- Generous PTO and company holidays
- Paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
