Principal Expert, MSAT – Data Science

Lonza; Singapore; On-site; Confidential; Full time

Benefits offered by this job

Dynamic working culture

Fully paid medical insurance

Daily company bus from MRT

Job summary

Lonza in Singapore is seeking a Principal Expert in MSAT – Data Science to provide site-level technical leadership and guide the strategic direction for Data Science capabilities. This role requires an advanced degree and significant experience in data science within manufacturing settings. You will lead initiatives, establish standards, and partner with cross-functional teams to drive data-driven strategies. The position includes perks like fully paid medical insurance and a dynamic working culture.

Qualifications

• Significant experience applying data science in operational or manufacturing environments, preferably in regulated industries.
• Proven ability to lead complex data science initiatives delivering measurable outcomes.
• Experience with cross-functional stakeholders to support data-driven solutions.

Responsibilities

• Define and drive the data science strategy and technical direction within MSAT.
• Establish data science standards and ensure compliance across the site.
• Provide technical leadership in multiple data science domains.

Skills

Data Science

Statistical Modelling

Multivariate Analysis

Data Visualization

Process Engineering

Workflow Automation

Education

Advanced degree (Masters or PhD) in Data Science, Statistics, Engineering, Mathematics, Life Sciences or related disciplines

Tools

Manufacturing Data Systems (e.g., historian data such as PI)

Job description

Singapore, Tuas Singapore

Principal Expert, MSAT – Data Science

The Principal Expert provides site-level technical leadership and sets the strategic direction for Data Science capabilities within MSAT.

What you will get

• An agile career and dynamic working culture.
• An inclusive and ethical workplace.
• Compensation programs that recognize high performance.
• Daily company bus from the MRT location near your home to and from the Tuas site.
• Fully paid medical insurance, and option to enroll family members at partially subsidized premiums.

What you will do

• Define and drive the site-level data science strategy and technical direction within MSAT, aligned with manufacturing priorities and future capability needs.
• Establish and govern data science standards, best practices and frameworks to ensure consistent, scalable and compliant application across the site.
• Provide technical leadership across multiple data science domains, integrating expertise (e.g., multivariate analysis, statistical modelling, visualization, automation) to guide solution design and decision-making.
• Lead high-impact or keystone initiatives end-to-end, ensuring delivery of measurable outcomes aligned with business and operational goals.
• Influence and partner with cross-functional stakeholders (MSAT, MFG, QA, QC, IT, OE) to drive adoption of data-driven approaches.
• Review and assure the quality of analytical solutions and models for complex or critical initiatives, ensuring robustness, compliance and alignment with standards.
• Build and develop data science capability within the organization through mentoring, coaching and pragmatic adoption of new methodologies and technologies.

What we’re looking for

• Advanced degree (Masters or PhD) in Data Science, Statistics, Engineering, Mathematics, Life Sciences or related disciplines.
• Significant experience applying data science in operational, process engineering or manufacturing environments, preferably within regulated industries (biopharmaceutical, pharmaceutical, medical devices).
• Proven track record of leading complex, high-impact data science initiatives end-to-end, delivering measurable business or operational outcomes.
• Strong experience working with manufacturing data systems (e.g., historian data such as PI, process monitoring platforms or integrated data environments) and integrating multiple data sources.
• Deep expertise in one or more data science domains (e.g., multivariate analysis, statistical modelling, data visualization, workflow automation), with the ability to work across domains.
• Experience working with cross-functional stakeholders (e.g., MSAT, Manufacturing, Quality, IT) and supporting adoption of data-driven solutions.
• Strong practical judgement, with the ability to translate complex data science approaches into robust, scalable and fit-for-purpose solutions in a GMP environment.

About Lonza

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

Reference: R75874

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