Informatics Data Science Manager

GlaxoSmithKline
Ware
3 days ago
Create job alert

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, eBR/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 at Ware. Help 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 the Ware Site’s future factory strategy. You will be working at the forefront of digital transformation within GSK, in a high‑profile role with senior stakeholder involvement.


About Ware Manufacturing Site:

We are co‑located with our R&D colleagues and recently opened a new, state‑of‑the‑art oral solid dose facility at Ware. At this location our scientists, technicians and engineers (from R&D and Global Supply Chain – GSC) work collaboratively together (using the latest technologies) to rapidly knowledge transfer and deliver GSK’s most innovative, medicines faster and more efficiently. On site we produce over 60 million respiratory inhalers each year with growing demand in future years. The site also processes Active Pharmaceutical Ingredient (API) for use both on site and other manufacturing sites in our network.


APPLICATION CLOSING DATE – Friday 23rd of January 2026 (COB).


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 (eg; Data Science, Pharmaceutical Development or Manufacturing environment, with an emphasis on data analytics).

Preferred Qualifications:

  • Experience in managerial role within in a Data Science, Pharmaceutical Development or Manufacturing environment (with an emphasis on data analytics) or MSc/MEng or Data Science Post Graduate Degree.
  • A broad experience of proven delivery within the Pharmaceutical or related industry, direct experience within technical roles, excellent interpersonal and leadership skills, 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
  • Opportunities for 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.


If you would like to learn more about our company wide benefits and life at GSK we would suggest looking at our webpage Life at GSK.


Why GSK?
Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation ; oncology ; HIV ; and infectious diseases – to impact health at scale.


People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.


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.


We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.


Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.


We have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive.


Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.


Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/.


#J-18808-Ljbffr

Related Jobs

View all jobs

Informatics Data Science Manager

Informatics Data Science Lead - Manufacturing & NPI

Data science programme lead

Call for Associate Editor Applications: Computation, AI and Machine Learning

Informatics Data Science Lead

Data Science Manager (Metaheuristics)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.