Senior Data Scientist, CMC & Digital Ops – Remote

Praxis Precision Medicines, Inc.

United States

Remote

USD 150,000 - 170,000

Full time

8 days ago

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Benefits offered by this job

401(k) matching
Stock incentives
Discretionary quarterly bonus
Generous PTO
Stock purchase plan
Wellness benefits

Job summary

Praxis Precision Medicines, Inc. is seeking a Senior Data Scientist to build and deploy models, data products, and digital tools that help develop drug substance and drug product processes, as well as packaging and labeling.

Working with CMC, Engineering, Process Chemistry, Formulation, Analytical Development, Quality, Data Science, and CDMOs, you will turn process and experimental data into actionable insight, drive technology transfer, and apply AI/ML while ensuring data FAIRness and

Qualifications

  • Master’s degree or higher in a related scientific/engineering field with data science application.
  • 5+ years in biotech/pharma process development, engineering, or data science.
  • Experience with process modeling, DoE, statistics, and data-driven decisions; packaging/labeling exposure is a plus.
  • Strong hands-on skills in Python and SQL; experience with Databricks and BI/visualization tools.

Responsibilities

  • Lead development, validation, and deployment of mechanistic, hybrid, and data-driven models for drug substance, drug product, packaging, and labeling processes.
  • Translate DoE, PAT, IPC, batch data into predictive analytics informing process understanding and risk assessment.
  • Develop analytics for unit operations (blending, granulation, compression, coating, fill/finish) and packaging readiness.

Skills

Python
SQL
Databricks
BI tools

Education

Master's degree in Chemical Engineering, Pharmaceutical Sciences, Data Science, or related

Tools

Databricks
Power BI
Tableau
Spotfire

Job description

Praxis Precision Medicines, Inc. is seeking a Senior Data Scientist to build and deploy models, data products, and digital tools that help develop drug substance and drug product processes, as well as packaging and labeling.

Working with CMC, Engineering, Process Chemistry, Formulation, Analytical Development, Quality, Data Science, and CDMOs, you will turn process and experimental data into actionable insight, drive technology transfer, and apply AI/ML while ensuring data FAIRness and

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