Remote Senior Data Scientist — CMC & Tech Transfer

Praxis Precision Medicines, Inc.

Boston (MA)

Remote

USD 150,000 - 170,000

Full time

5 days ago
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Benefits offered by this job

Annual bonus
401(k) matching
Stock incentives
Flexible PTO

Job summary

Praxis Precision Medicines, Inc. is seeking a Senior Data Scientist to build and deploy models and data products that accelerate drug substance and product development, packaging, and labeling.

You will collaborate across CMC, Engineering, Formulation, and external CDMOs to turn process data into actionable insight. This hands-on role requires 5+ years in biotech/pharma data science, strong Python/SQL, Databricks, and experience with AI/ML applications, DoE, and regulatory readiness.

Qualifications

  • Advanced degree with data science applied to process development.
  • 5+ years in biotech/pharma process development or data science.
  • Strong Python/SQL, DoE, and statistical analysis skills.

Responsibilities

  • Lead development, validation, and deployment of mechanistic, hybrid, and data-driven models.
  • Translate DoE, PAT, IPC, and batch data into predictive analytics.
  • Develop analytics for unit operations like blending, granulation, compression, coating, fill/finish.
  • Build and maintain pipelines and FAIR data products in Databricks and dashboards.
  • Define priorities as digital product owner for process modeling and analytics.
  • Present recommendations to stakeholders and mentor colleagues in data science.

Skills

Python
SQL
Databricks
AI/ML
DoE
Statistical analysis

Education

Master’s degree in Chemical Engineering, Pharmaceutical Sciences, Data Science
Bachelor’s degree with equivalent experience

Tools

Power BI
Tableau
Spotfire

Job description

Praxis Precision Medicines, Inc. is seeking a Senior Data Scientist to build and deploy models and data products that accelerate drug substance and product development, packaging, and labeling.

You will collaborate across CMC, Engineering, Formulation, and external CDMOs to turn process data into actionable insight. This hands-on role requires 5+ years in biotech/pharma data science, strong Python/SQL, Databricks, and experience with AI/ML applications, DoE, and regulatory readiness.

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