Msat Digital Innovation Engineer (2 Years Limited)

Johnson & Johnson Johnson & Johnson · Pharma · Schaffhausen, Switzerland

The role focuses on evaluating, piloting, and deploying digital tools and innovative technologies to improve shop floor execution and business processes within a regulated pharmaceutical manufacturing environment. It involves leading cross-functional projects, supporting data-driven investigations with statistical analyses, and potentially managing advanced process control models. While it utilizes AI tools and data science for process improvement, the core function is engineering and process optimization rather than direct AI/ML model development.

What you'd actually do

  1. Serve as Site MSAT Subject Matter Expert for digital tools such as dashboards, automated reporting, data-driven workflows
  2. Run pilot studies for new software/tools and assess value, usability and GMP fit
  3. Lead implementation projects of digital solutions and support validation with QA/CSV (documentation, testing)
  4. Present project updates and strategies in different forums incl. leadership meetings and steering committees
  5. Support data-driven investigations by applying statistical analyses in non-conformance investigations; potentially support troubleshooting and updates of locally deployed Advanced Process Control models in collaboration with global SMEs

Skills

Required

  • University degree in Engineering, Data Science, Chemistry, Pharmacy, Informatics or equivalent
  • at least two years of pharmaceutical experience
  • hands-on with digital tools (dashboards/automated reporting)
  • software pilots
  • data-driven methods (statistics and/or advanced process control)
  • Experience translating business needs into digital requirements
  • working with relevant manufacturing data sources (e.g. MES/LIMS/process historian systems)
  • building or managing BI/reporting solutions (e.g., Power BI, Python, Tableau)
  • Proven project leadership experience in a GMP-regulated (life sciences) environment
  • ability to drive cross-functional delivery from requirements through implementation and sustainment
  • work independently with strong ownership, structure and initiative
  • collaborate effectively to meet project timelines
  • decision making and problem-solving
  • excellent communication skills
  • Proficiency in English

Nice to have

  • PhD
  • experience with platforms such as Databricks and Posit
  • German is a plus

What the JD emphasized

  • regulated environment
  • GMP-regulated
  • digital tools
  • data-driven methods
  • statistical analyses
  • Advanced Process Control models