Praxis is seeking a Senior Statistical Data Scientist to support the development, validation and automation of analytical pipelines and statistical models that support metadata-driven clinical data processing, reporting, and regulatory submissions.
Requirements
- Support the design, development, and validation of R/Python code to automate generation of analytical datasets and TLFs within a metadata-driven pipeline.
- Translate SAPs and metadata specifications (YAML/CSV) into executable and reproducible code.
- Build and validate R packages and data science tools supporting both exploratory and confirmatory analyses, ensuring full traceability and audit readiness.
- Implement and validate statistical models (e.g., MMRM, ANCOVA, logistic regression) using R packages such as mmrm, emmeans.
- Collaborate with IT to integrate data science and statistical programming workflows within Databricks and CI/CD pipelines for continuous validation and reproducibility
- Collaborate across programming, biostatistics, and data standards functions to ensure dataset definitions, derivations, and metadata align with controlled standards.
- Conduct peer code reviews, unit testing, and automated validation; ensuring deliverables meet submission-quality and reproducibility standards
- Mentor and guide team members in best practices for programming, validation, and automation
Benefits
- 99% of the premium paid for medical, dental and vision plans
- Company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage
- Dollar-for-dollar matching on eligible 401(k) contributions up to 6%
- Long-term stock incentives and ESPP
- Discretionary quarterly bonus
- Extremely flexible wellness benefit
- Generous PTO, paid holidays and company-wide shutdowns