Data Scientist (Manufacturing Sciences)

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Job Description

Data Scientist (Manufacturing Sciences)

About the role:

The Data Scientist is a new position within the Manufacturing Sciences function at the Bray site. This is a unique opportunity to help shape the Manufacturing Sciences data science strategy and ways of working. You will provide digital and data science support and leadership for small molecule drug products by identifying implementing and delivering local data science initiatives that improve process control consistency and productivity. You will work with colleagues across Digital Data and Technology Automation Manufacturing Sciences Quality and Global Manufacturing Sciences. You will report to the Head of Manufacturing Sciences and there are no direct people management responsibilities.

How you will contribute:

• Enable data-informed process understanding and proactive control of product and process performance.
• Support early detection of deviations and help resolve process and product issues.
• Perform data analysis and research to identify trends patterns and opportunities in manufacturing data.
• Develop data mining approaches statistical reporting and analysis methods to support decision-making.
• Apply data science methods including machine learning artificial intelligence deep learning and big data approaches to local manufacturing challenges.
• Present complex data clearly through data visualization and concise explanations.
• Work with cross-functional colleagues to deliver digital and data science initiatives.

What you bring to Takeda:

• Degree or masters in Life Sciences Engineering Mathematics or Information Technology.
• Required: 2 years of professional experience in data science data analytics or a related role.
• Hands-on experience implementing Artificial Intelligence models with an in-dept understanding of machine learning techniques.
• Hands-on programming experience with MATLAB/Python/R or similar.
• Experience in the pharmaceutical industry especially in small molecule drug product manufacturing is preferred.
• Experience with data visualization tools such as Power BI and the ability to present data clearly.
• Process engineering experience is preferred.
• Experience with digital twins and Process Analytical Technology is preferred.
• Experience with BIOVIA Discoverant and SIMCA software is preferred.

More about us:
At Takeda we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer Takeda offers stimulating careers encourages innovation and strives for excellence in everything we do. We foster an inclusive collaborative workplace in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Empowering our people to shine:
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race color religion sex sexual orientation gender identity gender expression parental status national origin age disability citizenship status genetic information or characteristics marital status or any other characteristic protected by law.

If you are interested in this opportunity we look forward to receiving your application via our online tool!

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