Process Data Expert

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This is an IT support group
Southwest
SGD 60,000 - 80,000
Be among the first applicants.
3 days ago
Job description

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.

Did you know that we are the 1st biologics contract manufacturer in Singapore? We offer you exposure to upcoming biotech and established pharmaceutical companies and to the manufacturing technology needed to produce mammalian treatments and cell therapies of tomorrow. Our global manufacturing network is recognized for its reliable, high-quality services, regulatory track record, global footprint, innovative technology platforms and extensive experience – we, in Singapore are proud to be part of this global network.

As a Process Data Expert, you will work to revolutionize analytics at Lonza by using cutting-edge data science techniques, predictive analytics and next-generation innovation tools in Singapore. You will solve complex problems by applying advanced data science techniques, develop and evolve applications of advanced analytics and predictive modeling and incorporate external best practices and industry trends into the MSAT team. Enthusiastically promote the adoption of advanced analytics and pervasive data-driven thinking in Lonza culture and work effectively with scientists, engineers and various stakeholders to understand ambiguous problems, assess data needs, develop/maintain best-suited models and help strategize deployment.

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.
  • Work with staff and customers to understand the business requirements and business processes.
  • Support 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.
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