Senior Data Scientist - AI for CMC Data & Transfer (Remote)

Openkrill

United States

Remote

USD 150,000 - 170,000

Full time

9 days ago

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Benefits offered by this job

401(k) match up to 6%
Stock incentives
ESPP
Discretionary bonus
Wellness benefit
PTO & holidays

Job summary

Praxis Precision Medicines is seeking a Senior Data Scientist to build and deploy models and data products for drug substance/product processes, packaging, and labeling. You will work across CMC with Engineering, Process Chemistry, Formulation, Analytical Development, and external CDMOs to turn data into actionable insight and decisions.

This hands-on, high-ownership role requires strong Python/SQL skills, Databricks experience, and the ability to drive AI-enabled workflows while ensuring data

Qualifications

  • Master's degree in a relevant science/engineering field with data science application.
  • 5+ years in biotech/pharma process development, data science, or engineering.
  • Hands-on Python and SQL; Databricks or similar platforms.

Responsibilities

  • Lead model development and deployment for drug substance/product processes.
  • Translate DoE, PAT, IPC and batch data into predictive analytics.
  • Build analytics for unit operations and packaging/labeling readiness.
  • Create data products and dashboards for technical and executive audiences.
  • Apply AI/ML and govern data integrity in workflows.
  • Mentor colleagues and contribute to regulatory filings.

Skills

Python
SQL
Databricks
Power BI
Tableau
Spotfire
AI/ML
DoE
statistical analysis
communication
cgmp knowledge

Education

Master's degree in Chemical Engineering, Pharmaceutical Sciences, Data Science, or related field
Bachelor's degree with equivalent experience

Tools

Databricks
Power BI
Tableau
Spotfire

Job description

Praxis Precision Medicines is seeking a Senior Data Scientist to build and deploy models and data products for drug substance/product processes, packaging, and labeling. You will work across CMC with Engineering, Process Chemistry, Formulation, Analytical Development, and external CDMOs to turn data into actionable insight and decisions.

This hands-on, high-ownership role requires strong Python/SQL skills, Databricks experience, and the ability to drive AI-enabled workflows while ensuring data

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