Senior Data Scientist

39med

Hybrid
Advanced statistical methods
Reproducible, well-documented code
R and/or python proficiency
39med is seeking a Senior Data Scientist to join their S&T Data Science & Biostatistics team, focusing on advanced statistical methods to tackle challenges in pharmaceutical manufacturing. The ideal candidate will have a strong background in statistics, data science, and experience in manufacturing environments, with a hybrid work model offering flexibility

Job Summary

  • Lead end‑to‑end data science and statistical projects to address manufacturing challenges, applying advanced methods.
  • Develop reproducible, well‑documented code and data science pipelines, and automate repeatable tasks.
  • Communicate complex statistical and modeling results clearly, to both technical and non-technical audiences, and provide actionable recommendations.

Matching Summary

Match Score: 85

39med is seeking a Senior Data Scientist to join their S&T Data Science & Biostatistics team, focusing on advanced statistical methods to tackle challenges in pharmaceutical manufacturing. The ideal candidate will have a strong background in statistics, data science, and experience in manufacturing environments, with a hybrid work model offering flexibility.

Skills & Requirements

Must-have

  • Advanced statistical methods
  • Reproducible, well-documented code
  • R and/or Python proficiency
  • Git collaborative tools experience
  • Work with incomplete or imperfect data

Nice-to-have

  • AI methodologies application
  • Agile/DevOps practices and tools
  • Distributed compute environments (Spark)

Key Requirements

  • MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field
  • Relevant hands-on experience in data science, statistician or biostatistics role
  • Experience in pharmaceutical or manufacturing environments preferred

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter