Informatics Data Science Manager in England

This role leads a multi-disciplinary Informatics Data Science team (e.g., data scientists, pharmaceutical scientists, data engineers, informatics and data systems specialists, and statisticians) to design, deliver, and sustain digital and data capabilities across the value chain. The team supports New Product Introduction (NPI) and commercial manufacture at the Ware manufacturing site.

Key elements of the role include:

• Managing the Informatics Data Science team (building team capability through coaching, training, and development so members meet role expectations and regulatory requirements).
• Defining and executing the site data and analytics strategy for Global Supply Chain operations and process performance with a focus on Product Lifecycle Management (PLM), Continuous Process Verification (CPV), and waste reduction.
• Designing, constructing, and implementing new automated data processes, datamarts, reports, data models, and data visualisations to accelerate the Introduction of New Products (NPI) and product transfers; implementing product performance process improvements through root-cause analysis and change management.
• Ensuring the deployment of sustainable data solutions in compliance with Quality Management System (QMS) requirements and aligned with GSK strategy.
• Maintaining and curating data flows from sources such as SAP IP21, eBR/LIMS, and laboratory systems for GxP datasets, Periodic Product Reviews (PPRs), investigations, MSAT/CPV trending, and other functional area data analytics and reporting.
• Supporting the Smart Manufacturing (SM) Program and new tools as they develop and need data science expertise, including Artificial Intelligence (AI) applications across different areas at Ware.
• Helping SM teams to define data architecture, optimise data flows, develop visualisations, and enable data-driven decision making and problem solving for business in alignment with SM ambition.
• Partnering with Central Digital Teams, Tech Engineering, GPS Quality, and Production teams to deliver Smart Manufacturing goals for the Ware Site.
• Collaborating with and influencing business stakeholders to gather suitably structured information and ensuring data is freely available (to aid/drive data use and data-based decision-making).

Key Responsibilities

• Recruiting (including apprentices and industry placement students) and managing the Informatics Data Science team to maintain and enhance DDA capability in support of the Global Supply Chain (GSC).
• Ensuring Informatics capability at the Ware site is sustained for current and future requirements.
• Providing strategic direction and a proactive approach to drive change and continuous improvement in data processes by simplifying or improving complexity, implementing new or alternative business process improvements to maximise business benefit aligned to the change management strategy.
• Serving as the business lead for the development, deployment, and/or migration to new systems and business processes, ensuring common standards are defined and adopted.
• Leading key data improvement projects (design, development, pilot, and deployment of local systems, data analytics tools, and processes) to facilitate data use and interpretation.
• Planning, resourcing, and completing all data analytics activities on time and in accordance with project and regulatory requirements.
• Collaborating with key stakeholders and partners across business and functions (Medicines Development and Supply Quality/Technical/IT) to ensure the data and reporting infrastructure is fit for purpose.
• Contributing to the wider informatics network, incorporating best practices into local ways of working, maintaining data science knowledge to ensure site requirements are considered in development and roll-out of global solutions.
• Supporting external and internal audits/inspections as required and all relevant compliance requirements.

About You

This role provides an exciting opportunity to be instrumental in developing and delivering the Ware Site’s future factory strategy. You will work at the forefront of digital transformation within GSK in a high-profile role with senior stakeholder involvement.

Basic Qualifications

• Bachelor’s degree in Data Science, Pharmaceutical, Biological, or Computer Sciences, Analytical Chemistry, Chemistry, Mathematics, Engineering, or another related subject with a high numeracy content.
• Relevant experience (e.g., Data Science in Pharmaceutical Development or Manufacturing environment with emphasis on data analytics).

Preferred Qualifications

• Experience in a managerial role within a Data Science, Pharmaceutical Development, or Manufacturing environment (with emphasis on data analytics) or MSc/MEng or Data Science Post-Graduate Degree.
• Broad proven delivery experience within the pharmaceutical or related industry, direct experience in technical roles, excellent interpersonal and leadership skills, and excellent communication skills (oral and written).

Benefits

• Competitive base salary.
• Annual bonus based on company performance.
• Opportunities to partake in on-the-job training courses.
• Support for professional development and chartership (accreditations and professional bodies).
• Access to healthcare and wellbeing programmes.
• Employee recognition programmes.

What We Value

We welcome people who bring curiosity, humility, and a practical approach. We are committed to inclusion and to creating a supportive environment where everyone can grow. If you enjoy solving real problems, delivering measurable results, and helping teams succeed, we encourage you to apply.

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Adjustments

If you require any adjustments to our process to demonstrate your strengths and capabilities, contact us at . If your enquiry does not relate to adjustments, we will not be able to support you through these channels. A recruitment FAQ guide is available—click the link to find answers to multiple questions we receive.

EEO Statement

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service, or any basis prohibited under federal, state, or local law.