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Informatics Data Science Manager

Job in Ware, Hertford, Hertfordshire, SG13, England, UK
Listing for: GlaxoSmithKline
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Ware

Site Name: UK - Hertfordshire - Ware

Posted Date: Jan 9 2026

This role leads a multi‑disciplinary Informatics Data Science team (for eg. 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).
  • Define and execute 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. This includes the design, construction and implementation of new automated data processes, datamarts, reports, data models and data visualisations to accelerate the Introduction of New Products (NPI) and product transfers data, implementation of product performance process improvements, through root cause analysis and change management.
  • Ensure the deployment of sustainable data solutions in compliance with Quality Management System (QMS), related requirements and aligned with GSK strategy. Maintain and curate data flows from sources such as SAP, IP21, e /LIMS and laboratory systems for GxP datasets, Periodic Product Reviews (PPRs), investigations, MSAT/CPV trending, other functional area data analytics and reporting.
  • Support Smart Manufacturing (SM) Program and new tools as they get developed and need data science expertise including Artificial Intelligence (AI) applications across different areas p SM team to define data architecture, optimise data flows, develop visualisations and enable data decision‑making and problem solving for Business, in alignment with SM ambition. Partner with Central Digital Teams, Tech, Engineering, GPS, Quality and Production Teams to deliver Smart Manufacturing goals for Ware Site.
  • Collaborate and influence business stakeholders to gather suitably structured information and ensure data is freely available (to aid /drive data use and data‑based decision making).
Key Responsibilities:
  • Responsible for the recruitment (including apprentices and industry placement students) and management of the Informatics Data Science team, to maintain and enhance DDA capability in support of the Global Supply Chain (GSC).
  • Ensures Informatics capability at the Ware site is sustained for current and future requirements.
  • Responsible for strategic direction / proactive approach, and influence to drive change and continuous improvement in the Data processes by improving or reducing the complexity of data processes: including implementing new or alternative business process improvements to maximise the business benefit, aligned to the change management strategy.
  • May serve as the business lead for the development, deployment and/or migration to new system and business processes. Ensuring common standards are defined and adopted.
  • Responsible for key data improvement projects i.e. design /development / pilot and deployment of local systems, data analytics tools / processes to facilitate the use and interpretation of data.
  • Ensures that all data analytics activities are planned, resourced and completed on time, and in accordance with project and regulatory requirements.
  • Collaborates with key stakeholders and partners other the business and functions (Medicines Development and Supply Quality / Technical / IT) to ensure that the data and reporting infrastructure is fit for purpose.
  • Contributes to the wider informatics network, ensuring that best practices are incorporated into the local ways of working, maintaining a data science knowledge to ensure requirements of the site are considered in the development and roll‑out of global solutions.
  • Support external and internal audits/inspections as required, and all relevant compliance requirements.
About You:

This role is a fantastic opportunity to be instrumental in developing and delivering…

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