Truveta is seeking a Senior Biostatistician to support real-world data (RWD) projects using electronic health records (EHR) and administrative claims data. The role aims to enable researchers to find cures faster, empower clinicians, and help families make informed decisions by leveraging RWD for studies like comparative effectiveness research and HEOR studies.
Requirements
- Master’s or Ph.D. in Biostatistics, Mathematics, Epidemiology, Health Economics, Data Science, or related field.
- 5+ years of applied statistical experience with EHR and/or claims data (e.g., Optum, MarketScan, Flatiron, Epic, Cerner, CMS).
- Strong programming skills in R and SQL; experience with Python, PySpark, or Databricks a plus.
- Proven expertise in working with structured health data using medical ontologies such as ICD-10, CPT, NDC, LOINC, and RxNorm.
- Experience with advanced methods such as: Propensity score matching or inverse probability weighting, Survival time-to-event analysis (e.g., Cox proportional hazards model , Fine-Gray model, etc. ), Generalized linear and mixed-effects models, Difference-in-differences or interrupted time series
- Understanding of biases in RWD (e.g., immortal time bias, selection bias, etc.)
- Experience supporting regulatory-grade RWE, HEOR, or payer-facing studies.
Responsibilities
- Collaborate with the Research Services team to design and develop statistical analysis plans (SAPs) tailored for EHR and claims-based studies, and provide input into study protocols
- Conduct complex statistical analyses (e.g., time-to-event analysis, longitudinal data analysis, causal inference methods for observational and quasi-experimental designs such as propensity score matching, inverse probability weighting, and difference-in-difference) using R or Python.
- QC analyses and check assumptions of statistical models to ensure correct implementation of analyses and ensure quality and robustness of results.
- Review methods for data wrangling and transformation of large-scale EHR and claims data using SQL, R, or Python. Support data cleaning as needed.
- Develop and review reusable analytic pipelines and tools for scalable RWD analysis.
- Interpret statistical findings in the context of real-world data limitations (e.g., missingness, measurement error).
- Generate clear and actionable insights via statistical reports, dashboards, or manuscripts.
Other
- In person attendance is required for one week during the year for Truveta Planning Week.
- Strong communication skills (written and verbal)
- Proactive communicator, comfortable working across teams and customers.
- Strong documentation habits and commitment to reproducibility.
- The base pay for this position is $145,000 to $165,000.
