Informatics Data Science Manager – Site Analytics & AI

Glaxosmithkline Consumer Healthcare SA; Ware; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global biopharma company located in Ware is seeking a leader for its Informatics Data Science team. The role involves fostering data capabilities across operations, defining data strategy, and ensuring compliance with quality management. The ideal candidate will have a background in data science or pharmaceuticals, demonstrated leadership skills, and experience in managing complex data projects. This is an opportunity to influence the digital transformation of manufacturing processes and contribute to innovative product development.

Benefits

Competitive base Salary

Annual performance bonus

Opportunities for professional development

Access to healthcare and wellbeing programmes

Employee recognition programmes

Qualifications

• Bachelor's degree in Data Science, Pharmaceutical, Biological, or Computer Sciences required.
• Relevant experience in Data Science, Pharmaceutical Development or Manufacturing environment.
• Experience in a managerial role is preferred.

Responsibilities

• Lead the Informatics Data Science team to meet regulatory expectations.
• Define site data and analytics strategy for Global Supply Chain operations.
• Collaborate with stakeholders to ensure data accessibility.
• Drive continuous improvement in Data processes.

Skills

Data Science

Data Analytics

Pharmaceutical Development

Leadership

Project Management

Education

Bachelor’s degree in Data Science or related field

Tools

SAP

Power BI

Job description

A global biopharma company located in Ware is seeking a leader for its Informatics Data Science team. The role involves fostering data capabilities across operations, defining data strategy, and ensuring compliance with quality management. The ideal candidate will have a background in data science or pharmaceuticals, demonstrated leadership skills, and experience in managing complex data projects. This is an opportunity to influence the digital transformation of manufacturing processes and contribute to innovative product development.