Statistical Data Scientist

Job not on LinkedIn

🕒 April 20

🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Praxis

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2002

🧬 Biotechnology

⚕️ Healthcare Insurance

🔬 Science

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.

📋 Description

• 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.