Deliver advanced analytics, predictive modelling, and digital innovation to support manufacturing and development processes
Enable data-driven decision-making, process optimization, and compliance by partnering with global teams, site SMEs, and IT/digital functions
Manage analytics solution delivery and support digital transformation
Build, validate, and maintain multivariate statistical models (e.g., PCA/PLS) for real-time process monitoring
Lead development and deployment of predictive models and multivariate analytics
Collaborate with cross-functional teams to design and implement data-driven solutions
Ensure data quality, integrity, and compliance with GMP and regulatory standards
Facilitate knowledge transfer, training, and adoption of analytics solutions
Track and report analytics project progress, risks, and outcomes to leadership and stakeholders
Leverage data visualization and reporting tools (Power BI, Tableau, Seeq) for actionable insights

Master’s or Ph.D. in Data Science, Statistics, Engineering, Life Sciences, or related field
5+ years of experience in data science, analytics, or digital deployment in pharmaceutical or life sciences industry
Experience in pharmaceutical GMP operations and TSMS or process development
Proficient in statistical modeling, machine learning, coding languages, and predictive analytics (Python, R, SIMCA, JMP)
Experienced in data integration, data quality assurance, and digital solution delivery
Skilled in data visualization and reporting (Power BI, Tableau, Smartsheet)
Knowledgeable in GMP, data integrity, and regulatory compliance
Strong problem-solving, analytical, and detail-oriented mindset
Effective communicator with experience working in global, cross-functional teams
Familiarity with cloud analytics (Azure/AWS), data pipelines, and APIs; experience with NLP for unstructured manufacturing knowledge is a plus

Senior/Principal – Manufacturing Data Scientist

Key skills