Praxis Precision Medicines
201-500 employees
Biotechnology
Pharmaceuticals
Healthcare
About Praxis Precision Medicines
Praxis Precision Medicines is a clinical-stage biopharmaceutical company focused on developing precision therapies for patients with central nervous system disorders. The company leverages genetic insights and advanced drug discovery platforms to create targeted treatments for rare and severe neurological diseases. Praxis aims to transform the lives of patients by addressing the underlying causes of these disorders with innovative medicines. Their pipeline includes therapies for epilepsy, movement disorders, and other neurological conditions, positioning them as a leader in precision neurology.
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Description
- Praxis is seeking a Senior Statistical Data Scientist to support the development, validation, and automation of analytical pipelines and statistical models that support metadata-driven clinical data processing, reporting, and regulatory submissions.
- This hands-on, technical role is ideal for a data scientist or statistical programmer who enjoys coding, problem-solving, and working cross-functionally to bring rigor, reproducibility, and automation to clinical reporting workflows.
- The Senior Statistical Data Scientist will contribute directly to R/Python development while also setting technical standards, mentoring peers, and ensuring readiness for R-based regulatory submissions.
- Responsibilities include supporting the design, development, and validation of R/Python code, translating SAPs and metadata specifications into executable code, building and validating R packages, implementing statistical models such as MMRM, ANCOVA, logistic regression, and collaborating with IT to integrate workflows within Databricks and CI/CD pipelines.
- The role also involves peer code reviews, validation, and mentoring team members.
- Qualifications include a degree in Statistics, Biostatistics, Data Science, or related field with 5+ years of experience, proficiency in R and/or Python, experience with regulatory submissions, understanding of CDISC standards, and familiarity with GxP and Part 11 compliance.
- Preferred skills include YAML/JSON, migrating from SAS, and visualization in R or Python.
- The role offers a salary range of $150,000 - $168,000 USD, with comprehensive benefits, including health coverage, 401(k), stock incentives, bonuses, PTO, and more.
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Requirements
- Bachelor’s or Master’s degree in Statistics, Biostatistics, Data Science, or a related field
- 5+ years of statistical programming experience in the pharmaceutical/biotech industry
- Hands-on experience with R and/or Python
- Experience 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 pipelines
- Knowledge of GxP and Part 11 compliance
- Familiarity with YAML/JSON configuration and metadata-driven workflows
- 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
- Excellent documentation and validation practices
- Ability to operate independently in a small, agile team
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Benefits
- 99% of the premium paid for medical, dental, and vision plans
- Company-paid life insurance, AD&D, disability benefits
- Voluntary plans to personalize coverage
- Matching dollar-for-dollar up to 6% on 401(k) contributions
- Long-term stock incentives and ESPP
- Discretionary quarterly bonus
- Flexible wellness benefit
- Generous PTO and paid holidays
- Company-wide shutdowns