Statistical Data Scientist

Praxis

Associate Director, Statistical Data Scientist leading R/Python development for clinical data analysis at Praxis Precision Medicines. Seeking a technical leader with strong coding and problem-solving skills.

Posted 4/20/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $180,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

RPythonstatistical programmingstatistical modelsMMRMANCOVAlogistic regressionR packagesdata science toolsYAML

Soft Skills

collaborative mindsetproactive mindsetindependent operationmentoringdocumentation practicesvalidation practices