Process Data Expert

1 week ago

Tuas, Singapore Lonza Full time

**Singapore, Tuas Singapore**

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

**Key responsibilities**:

- Develop and implement process monitoring tools, process advisory and predictive process control tools to solve complex bioprocessing problems by using **Multivariate** Analysis and other** advanced statistical and data science techniques.
- Execute and lead complex scientific investigations for root cause analysis and to optimize process variables, providing knowledge and insight to Process Scientists and Engineers.
- Design, build and implement tools that provide analytical insights. Develop comprehensive understanding of Lonza data structures and metrics to assess data needs, develop/ maintain best suited models, advocating and educating for improved utilization and understanding of how data science can benefit the site.
- Maintain functional aspects of existing data management, analytics and reporting systems, implement enhancements, and maintain related workflows to effectively collect, analyze, and report information
- Works with staff and customers to understand the business requirements and business processes.
- Supports major site business initiatives to implement standards for the corporation’s data management program and execute various global governance processes for various master data elements.
- Lead the investigation into process trends to support process monitoring requirements, support preparation of APR and CPV reports.
- Support inspections and audits by customer and regulatory authorities.
- Any other duties as assigned by your Supervisor/Manager.

**Key requirements**:

- Degree or Masters Degree in Chemical Engineering, Biochemical Engineering, Data Science, Statistics, Mathematics, Biology or related discipline
- Competent in Multivariate Analysis and other statistical methods
- Approaches high-level data challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources
- Excellent communication skills, outstanding action orientation and ability to work well in a cross-functional technical environment
- Demonstrated track record in completing projects under tight timelines
- Independent and a good team player
- Excellent Organizational Skills
- Customer focus
- Meticulous and detail oriented
- Understanding of cGMP regulations is preferable.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Reference: R66672

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