Principal Expert, Msat – Data Science

Lonza Group

Singapore
Not specified; not specified; fully pyid medical i...
Not specified (assumed to be hybrid or on-site based on industry norms).
Advanced degree in data science or related field
Experience with pi historian and process monitoring
Proven track record leading complex data initiatives
The job posting is for a Principal Expert in Data Science at Lonza Group in Singapore, focused on providing technical leadership and strategic direction for data science capabilities within the Manufacturing Sciences and Technology (MSAT) team. The ideal candidate should have advanced academic qualifications and significant experience in applying data science within regulated industries, specifically in operational or manufacturing contexts

Job Summary

  • The Principal Expert provides site-level technical leadership and sets the strategic direction for Data Science capabilities within MSAT at the Singapore location.
  • This role requires establishing data science standards and frameworks to ensure consistent, scalable, and compliant application across the manufacturing site.
  • Candidates will benefit from an agile career culture, fully paid medical insurance, and a daily company bus service from nearby MRT locations.

Matching Summary

Match Score: 85

The job posting is for a Principal Expert in Data Science at Lonza Group in Singapore, focused on providing technical leadership and strategic direction for data science capabilities within the Manufacturing Sciences and Technology (MSAT) team. The ideal candidate should have advanced academic qualifications and significant experience in applying data science within regulated industries, specifically in operational or manufacturing contexts.

Salary

Not specified; Not specified; Fully paid medical insurance; Option to enroll family members at partially subsidized premiums

Skills & Requirements

Must-have

  • Advanced degree in Data Science or related field
  • Experience with PI historian and process monitoring
  • Proven track record leading complex data initiatives
  • Deep expertise in multivariate analysis and statistical modeling
  • Experience working in regulated GMP environments

Nice-to-have

  • Strong cross-functional stakeholder influence skills
  • Ability to mentor and coach data science teams
  • Pragmatic adoption of new methodologies and technologies
  • Background in life sciences or engineering disciplines

Key Requirements

  • Masters or PhD in Data Science, Statistics, Engineering, Mathematics, or Life Sciences
  • Significant experience applying data science in operational or manufacturing environments
  • Deep expertise in one or more data science domains such as workflow automation
  • Strong practical judgement for translating approaches into robust solutions in GMP settings

Work Rights

Not specified

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