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SASanofi

Process Performance Improvement Scientist(m/w/x)

Frankfurt am Main
Full-timeFreelanceOn-siteJunior
AI/ML
Data Science

Implementation of SimplY advanced data analytics tools for biotech process robustness at global biopharma manufacturer. Prior statistics and data science experience required. High-impact assignments with direct project responsibility.

Requirements

  • Technical or scientific pharma experience advantageous
  • Experience in design, management, or data structures
  • Prior Statistics and Data Science experience
  • Strong communication, organization, and critical thinking
  • Interest in biotech processes and pricing systems
  • Lean manufacturing mindset and adaptive influence
  • Transversal collaboration, proactivity, and leadership capability
  • Master’s degree in Biotech or quantitative field
  • Fluency in English and German
  • EEA citizenship and age 18 to 28
  • Non-citizen of the assignment country

Tasks

  • Integrate with the local team
  • Develop a network and influence local players
  • Lead and support local action plans
  • Implement the SimplY advanced data analytics tool
  • Identify initiatives for process robustness
  • Improve yield performance to create value
  • Transform process monitoring practices
  • Deploy best practices and standards
  • Support continuous improvement of deployment methodologies

Work Experience

  • 1 year

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

  • Statistics
  • Data Science
  • IA
  • machine learning
  • data structures

Benefits

Purpose-Driven Work

  • Meaningful assignments

Other Benefits

  • Actual responsibilities

Mentorship & Coaching

  • Growth perspective
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