Data Scientist

Merck Sharp & Dohme Corp

Hybrid
Advanced statistical methodologies
Modern data science techniques
Pharmaceutical manufacturing challenges
Merck Sharp & Dohme Corp is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, focusing on data-informed decision-making in Global Animal Health Manufacturing. The ideal candidate will have strong statistical knowledge and hands-on experience, contributing to various operational challenges while enjoying a supportive and innovative work environment

Job Summary

  • The S&T Data Science & Biostatistics team enables data-informed decision-making across Global Animal Health Manufacturing by combining advanced statistical methodologies, modern data science techniques, and deep domain expertise.
  • This role offers the opportunity to apply advanced statistical methods to complex challenges in pharmaceutical manufacturing, where data science applications differ from standard use cases.
  • We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development.

Matching Summary

Match Score: 85

Merck Sharp & Dohme Corp is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, focusing on data-informed decision-making in Global Animal Health Manufacturing. The ideal candidate will have strong statistical knowledge and hands-on experience, contributing to various operational challenges while enjoying a supportive and innovative work environment.

Skills & Requirements

Must-have

  • advanced statistical methodologies
  • modern data science techniques
  • pharmaceutical manufacturing challenges
  • DOE, SPC, regression, GLMs
  • multivariate analysis, optimization, simulation
  • predictive modeling, machine learning
  • R or Python proficiency
  • collaborative tools (e.g., Git)

Nice-to-have

  • international environment
  • room for personal development
  • innovation-driven team
  • scientific rigor and curiosity
  • continuous learning
  • working with incomplete or imperfect data

Key Requirements

  • MSc or higher in Statistics, Mathematics, Computer Science, Physics, Economics, or related field
  • Minimum 2 years' hands-on experience
  • Experience in pharmaceutical or manufacturing environments preferred
  • Strong coding practices
  • Excellent communication and interpersonal skills
  • Comfortable working independently and collaboratively

Work Rights

Not specified

Tailored Resume

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