Statistical Data Scientist

About the Role

Day-to-day, the Statistical Data Scientist will work closely with cross-functional teams, including IT, biostatistics, and data standards, to ensure the integration of data science and statistical programming workflows within Databricks and CI/CD pipelines. This role requires strong technical leadership skills, as the candidate will be responsible for setting technical standards, mentoring peers, and ensuring the readiness of R-based regulatory submissions.

What You Will Do

• Lead the design, development, and validation of R/Python code to automate the generation of analytical datasets and TLFs within a metadata-driven pipeline.
• Translate SAPs and metadata specifications 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 using R packages such as mmrm and emmeans.
• Collaborate with IT to integrate data science and statistical programming workflows within Databricks and CI/CD pipelines.
• Conduct peer code reviews, unit testing, and automated validation to ensure deliverables meet submission-quality and reproducibility standards.
• Mentor and guide team members in best practices for programming, validation, and automation.
• Collaborate across functions to ensure dataset definitions, derivations, and metadata align with controlled standards.

What We Are Looking For

• 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.

Nice to Have

• 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 within a regulated framework.

Benefits and Perks

• Competitive salary package.
• Comprehensive health, dental, and vision insurance with 99% of the premium paid by the company.
• Company-paid life insurance, AD&D, disability benefits, and voluntary plans.
• Dollar-for-dollar match up to 6% on eligible retirement plans.
• Flexible work arrangements, including remote work options.
• Opportunities for professional development and growth within a dynamic and innovative company.

• Ensure your resume and cover letter highlight specific experiences with R and Python programming, especially in relation to clinical data analysis and regulatory submissions.
• Be prepared to provide examples of your work, such as code snippets or project descriptions, that demonstrate your expertise in statistical modeling and data analysis.
• Familiarize yourself with Praxis Precision Medicines' focus areas and be ready to discuss how your skills align with the company's goals.
• Practice explaining technical concepts in a clear, non-technical manner, as this will be important for collaborating with cross-functional teams.
• Consider creating a portfolio of your work, even if it's anonymous, to showcase your capabilities during the application or interview process.
• Don't hesitate to ask about the company culture, opportunities for growth, and what a typical day looks like in this role during your interviews.