Principal, Quantitative Scientist
Listed on 2026-07-02
-
Research/Development
Data Scientist, Research Scientist
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.
OverviewWe are seeking a Principal to join Pedestal Health’s Quantitative Sciences (QS) organization, helping shape how we design, execute, and communicate real‑world clinical studies using Pedestal's data. This highly cross‑functional, client‑facing role calls for strong analytical and scientific expertise balanced with methodological rigor tailored to each question.
Applied Methodology and Study DesignYou will ensure that Pedestal’s analyses are scientifically rigorous, practical, and aligned with real‑world use.
- Guide the design of observational studies using real‑world data, including retrospective and prospective analyses
- Apply statistical and epidemiologic methods in a practical, fit‑for‑purpose way
- Develop and review study protocols and statistical analysis plans
- Ensure analyses are reproducible, interpretable, and aligned with regulatory and scientific expectations
- Partner with internal teams to translate research questions into practical analytic approaches
You will serve as a key scientific voice in client and partner interactions.
- Lead client meetings to explain study design, methodology, and results
- Translate complex analytical concepts into clear, accessible language for diverse audiences
- Support business development by communicating Pedestal’s scientific approach and data value
- Represent Pedestal in external settings, including conferences, scientific collaborations, and partner discussions
- Build trust with clients through thoughtful, pragmatic, and credible scientific guidance
You will connect data, analytics, and business needs across the organization.
- Partner closely with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams
- Shape analytic strategies that align with both scientific goals and customer needs
- Guide the Quantitative Sciences team on study design and interpretation
- Mentor team members on balancing methodological rigor with practical execution
- Contribute to internal best practices for scalable, high‑quality evidence generation
- PhD or MS in biostatistics, epidemiology, health economics, data science, or a related field
- 10+ years of experience working with real‑world data (EMR, claims, registry, or clinical trial data)
- Strong foundation in observational study design and applied statistical methods; experience with real‑world pragmatic clinical trial designs is a plus
- Demonstrated ability to apply methods pragmatically, selecting the right approach for the problem
- Willingness to engage directly with data and analyses as needed, with working knowledge of R and/or SQL to support exploratory work and collaboration with analytic teams
- Experience working directly with clients or external partners in life sciences or healthcare
- Excellent communication and presentation skills, able to explain complex concepts clearly
- Comfortable operating in client‑facing settings, including meetings, presentations, and scientific discussions
- Strong collaboration skills across technical and non‑technical teams
- Comprehensive health, dental, and vision for you and your family
- 401(k) with company match
- Generous PTO and company holidays
- Paid parental leave
Pedestal Health is an equal‑opportunity employer and seeks candidates from diverse backgrounds and abilities.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).