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Process Performance Improvement Scientist(m/w/x)
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
- English – Business Fluent
- German – Business 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
Not a perfect match?
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Process Performance Improvement Scientist(m/w/x)
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
- English – Business Fluent
- German – Business 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
About the Company
Sanofi
Industry
Pharmaceuticals
Description
Das Unternehmen ist ein forschendes Biopharma-Unternehmen, das KI anwendet und sich dafür einsetzt, das Leben der Menschen zu verbessern.
Not a perfect match?
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