MSAT Data Expert (Plasma)

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Job Description

About the role

As an MSAT Data Expert (Plasma) you will play a key role in advancing Takedas digital manufacturing and CMC data strategy within the Plasma business. You will help transform complex manufacturing and process information into structured analysis-ready data that enables operational excellence advanced analytics and next-generation digital capabilities. Working at the intersection of manufacturing process science and data you will contribute to building the digital foundations that support innovation across Takedas global Plasma network.

How you contribute

• Develop and maintain CMC data taxonomies ontologies metadata models and business rules for the Plasma modality.

• Ensure process data is accurate contextualized and analysis-ready across manufacturing systems and sites.

• Partner with MSAT Manufacturing Quality and Digital teams to improve data capture integration and utilization.

• Support the implementation of global CMC data standards governance frameworks SOPs and job aids.

• Act as the subject matter expert for CMC data stewardship and governance within the Plasma organization.

• Enable data integration across manufacturing and enterprise platforms to support modelling analytics and digital use cases.

• Drive data quality integrity and GxP compliance while supporting inspection readiness activities.

• Promote knowledge sharing continuous improvement and adoption of data-driven ways of working across the organization.
  

What you bring to Takeda

• Advanced degree in Data Science Engineering Bioinformatics Life Sciences Computer Science Chemical Engineering Biochemical Engineering or another relevant STEM discipline.

• Minimum of 5 years of experiencewithin the pharmaceutical biotechnology or life sciences industry ideally supporting CMC MSAT manufacturing or Plasma operations.

• Experience working with CMC process data data modelling metadata management taxonomies ontologies or data governance principles.

• Knowledge of data integration approaches and experience operating within GxP-regulated environments.

• Familiarity with manufacturing and digital platforms such as OSI PI MES LIMS Databricks AWS or similar technologies is highly desirable.

• Strong analytical and problem-solving capabilities with the ability to translate complex manufacturing processes into scalable digital solutions.

• Excellent stakeholder management and collaboration skills with the ability to work effectively across multidisciplinary and global teams.

• Curiosity learning agility and a passion for innovation digital transformation and enabling data-driven decision making through high-quality digital capabilities.

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