Senior Scientist Data Science (f/m/d)

Danaher / Cytiva

Not specified
Phd or master's degree in bioinformatics or data science
Strong python programming and sql skills
Experience building scalable ml workflows and mlops infrastructure
Cytiva, a part of Danaher, is seeking a Senior Scientist in Data Science to lead the development of data-driven and AI-based approaches in life sciences. The ideal candidate will leverage machine learning and statistical models to enhance cell line development and process optimization, while collaborating with cross-functional teams

Job Summary

  • This role provides technical leadership to build and strategically advance data-driven and AI-based approaches for cell line development and upstream process development.
  • You will take ownership of building end-to-end ML workflows and a scalable data science infrastructure spanning data ingestion, feature engineering, and model deployment.
  • The position involves leading cross-functional projects with R&D, IT, Quality, and Regulatory teams to enable compliant, data-driven decision-making across the workflow.

Matching Summary

Match Score: 85

Cytiva, a part of Danaher, is seeking a Senior Scientist in Data Science to lead the development of data-driven and AI-based approaches in life sciences. The ideal candidate will leverage machine learning and statistical models to enhance cell line development and process optimization, while collaborating with cross-functional teams.

Skills & Requirements

Must-have

  • PhD or Master's degree in Bioinformatics or Data Science
  • Strong Python programming and SQL skills
  • Experience building scalable ML workflows and MLOps infrastructure
  • Knowledge of cloud environments AWS or Azure
  • Ability to lead cross-functional R&D projects

Nice-to-have

  • Proficiency in German language
  • Experience with mammalian cell line development
  • Background in viral vectors or AAV production
  • Expertise in analyzing NGS datasets
  • Familiarity with Danaher Business System

Key Requirements

  • PhD or Master's degree required
  • Several years of hands-on ML experience in life sciences
  • Proficient English oral and written skills

Work Rights

Not specified

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