Senior Statistical Data Scientist

Praxis Precision Medicines, Inc.-posted 10 days ago
$150,000 - $168,000/Yr
Full-time • Mid Level
Remote
101-250 employees
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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. This hands-on, technical role is ideal for a data scientist or statistical programmer who enjoys coding, problem-solving, and working cross-functionally to bring rigor, reproducibility, and automation to clinical reporting workflows. The Senior Statistical Data Scientist will contribute directly to R/Python development while also setting technical standards, mentoring peers, and ensuring readiness for R-based regulatory submissions.

  • 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
  • Bachelor’s or Master’s degree in Statistics, Biostatistics, Data Science, or a related field with 5+ years of statistical programming experience in the pharmaceutical/biotech industry including hands-on experience with R and/or Python.
  • Proven experience preparing or supporting R-based regulatory submissions (e.g., R package validation, R-based analysis delivery, or submission readiness).
  • Strong understanding of CDISC ADaM and SDTM data structures, and their use in analytical workflows.
  • Experience developing and validating reusable R/Python libraries and functions.
  • Proficiency with Git, Bitbucket, and CI/CD automation pipelines.
  • Working knowledge of GxP and Part 11 compliance.
  • Excellent documentation and validation practices.
  • Collaborative and proactive mindset; able to operate independently in a small, agile team.
  • Preferred familiarity with YAML/JSON configuration and metadata-driven programming workflows.
  • Prior experience migrating from SAS to R/Python environments.
  • Knowledge of R validation frameworks (e.g., risk-based testing, reproducibility documentation).
  • Experience with exploratory analytics or visualization in R or Python within a regulated framework strongly preferred.
  • 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 up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP
  • discretionary quarterly bonus
  • extremely flexible wellness benefit
  • generous PTO
  • paid holidays and company-wide shutdowns
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