Associate Director, Statistical Data Scientist

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November 19

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Praxis

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Biotechnology • Healthcare Insurance • Science

Praxis is a company dedicated to connecting patients with meaningful clinical trial opportunities. With a focus on creating customized recruitment programs, Praxis utilizes a variety of specialized tools and extensive experience across various therapeutic areas to ensure they reach the right patients worldwide. Established in 2002, the company emphasizes the importance of patient engagement and utilizes sophisticated data insights to enhance the patient journey in clinical research.

11 - 50 employees

Founded 2002

🧬 Biotechnology

⚕️ Healthcare Insurance

🔬 Science

📋 Description

• Lead 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. • Implement and validate statistical models (e.g., MMRM, ANCOVA, logistic regression). • Collaborate with IT to integrate data science and statistical programming workflows within Databricks and CI/CD pipelines. • 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. • 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 with 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. • 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. • 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. • Experience with exploratory analytics or visualization in R or 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. • Dollar-for-dollar 401(k) match up to 6% on eligible contributions. • Long-term stock incentives and ESPP. • Discretionary quarterly bonus. • Extremely flexible wellness benefit. • Generous PTO and paid holidays. • Company-wide shutdowns.