Praxis

Statistical Data Scientist

Praxis

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $180,000 - $200,000 per year

Job Level

SeniorLead

Tech Stack

Python

About the role

  • Lead the design, development, and validation of R/Python code to automate generation of analytical datasets and TLFs.
  • 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.
  • Implement and validate statistical models (e.g., MMRM, ANCOVA, logistic regression).
  • Collaborate with IT to integrate data science workflows within Databricks and CI/CD pipelines.
  • Collaborate across programming, biostatistics, and data standards functions.
  • Conduct peer code reviews, unit testing, and automated validation.
  • Mentor and guide team members in best practices for programming, validation, and automation.

Requirements

  • Bachelor’s or Master’s degree in Statistics, Biostatistics, Data Science, or a related field.
  • 8+ 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.
  • 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.
  • Familiarity with YAML/JSON configuration and metadata-driven programming workflows (preferred).
  • Prior experience migrating from SAS to R/Python (preferred).
  • Knowledge of R validation frameworks (e.g., risk-based testing, reproducibility documentation) (preferred).
  • Experience with exploratory analytics or visualization in R or Python within a regulated framework (preferred).
Benefits
  • 99% of the premium paid for medical, dental and vision plans.
  • Company-paid life insurance.
  • AD&D and disability benefits.
  • Voluntary plans to personalize your coverage.
  • 401(k) matching up to 6% on eligible contributions.
  • Long-term stock incentives and ESPP.
  • Discretionary quarterly bonus.
  • Flexible wellness benefit.
  • Generous PTO and paid holidays.
  • Company-wide shutdowns.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
RPythonstatistical programmingstatistical modelsMMRMANCOVAlogistic regressionR packagesdata science toolsYAML
Soft Skills
collaborative mindsetproactive mindsetindependent operationmentoringdocumentation practicesvalidation practices