Pedestalhealth
Quantitative Scientist
Research Triangle Park, North Carolina
Sponsorship not specifiedDetected 21 days ago
Data StructuresData ScienceEHR/EMRBioinformaticsResearchExperimental DesignCommunicationCollaborationProblem SolvingBiostatisticsEpidemiology
About the role
- 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.
Responsibilities
- 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.
- Support the development of publications, abstracts, and scientific presentations.
- Participate in internal discussions and occasional client meetings to support data interpretation and analytic understanding.
- Excellent communication and collaboration skills with technical and scientific partners.
- We're building something meaningful together, and we'd love for you to be a part of it.
Requirements
- 2-5 years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
- Experience with data cleaning, validation, quality checks, or curation processes.
Benefits
- 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.
- Pedestal Health is committed to advancing medical decision making to improve outcomes for patients.
- Pedestal Health is a Highlander Health company.
- Pedestal Health is an
- Contribute to data validation, quality checks, and "fitness-for-use" assessments.
- Assist in the design and execution of retrospective and prospective analyses using Pedestal Health datasets.
- Collaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams to align on data strategy and analytic priorities.
- Advanced degree (MS or PhD) in in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience).
Company info
- What we offer you
Equal opportunity
- equal opportunity employer and seeks candidates from diverse backgrounds and abilities.
Apply directly at Pedestalhealth →Create a free account for alerts like thisView Pedestalhealth immigration profile
This listing is sourced directly from Pedestalhealth's careers page and normalized into a canonical job model.