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Statistical Data Scientist at Praxis | JobVerse
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Statistical Data Scientist
Praxis
Remote
Website
LinkedIn
Statistical Data Scientist
United States
Full Time
3 weeks ago
$180,000 - $200,000 USD
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Key skills
Python
R
Analytics
Databricks
Unit Testing
Git
Bitbucket
Agile
CI/CD
About this role
Role Overview
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).
Tech Stack
Python
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.
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