Associate Director, Integrated Scientific Data Analysis & Visualization

GlaxoSmithKline; Stevenage; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global biopharma company based in the UK seeks an Associate Director for Integrated Scientific Data Analysis & Visualization. The role involves integrating foundational causal biology data with discovery processes, creating scientific visualizations to enhance decision-making for R&D scientists. Candidates should have a solid background in scientific data analysis, programming, and significant experience in pharma or biotech. The position offers a hybrid work model and a competitive salary package.

Benefits

Competitive salary

Annual bonus based on company performance

Healthcare and wellbeing programmes

Pension plan membership

Shares and savings programme

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Data Science, Software Engineering, Life Sciences or related field.
• Extensive experience in scientific data analysis and visualization, with a strong preference for experience in pharma/biotech.
• Extensive experience in front end technologies: JavaScript, Typescript, ReactJS, AngularJS or similar.

Responsibilities

• Design and deliver scientific visualizations for biopharma discovery activities.
• Build, test and optimise robust scientific visualizations and applications.
• Collaborate across departments to progress the portfolio.

Skills

Scientific data analysis

Data visualization

JavaScript

Typescript

ReactJS

Python

DevOps tools

Education

Bachelor's degree in Computer Science or related field

Tools

D3.js

Plotly

Matplotlib

Job description

Site Name: UK - Hertfordshire - Stevenage

Posted Date: Nov 28 2025

Do you share a desire to advance scientific knowledge and capitalize on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio?

The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Within DAPS, the Discovery Integration Sciences team is driving efforts across Research to build the world’s most efficient and effective biopharma discovery platform at GSK by building and deploying innovative Lab-in-an-Automated-Loop (LIAL) Systems that integrate computational intelligence with physical laboratory experimentation in adaptive learning cycles. Each LIAL System will deliver a domain leading scientific discovery solution that leverages and extends state‑of‑the‑art scientific methods by engineering technologies to create integrated discovery systems that empower GSK research scientists with the latest tools. LIAL Systems will therefore be physical instantiations of GSK’s mission to unite science, technology and talent to get ahead of disease together.

The foundation of efficient and effective biopharma discovery, grounded in decision making on the aetiological relevance of targets and mechanisms in disease, is an integrated causal mechanistic understanding of disease. Experiments executed using LIAL Systems generate data that through analysis can extend this foundational knowledge to understand how potential drug molecules alter biological mechanisms and change the course of disease. It is essential that we effectively integrate foundational causal biology understanding with knowledge generated through discovery activities to select assets with higher PTRS.

As Associate Director, Integrated Scientific Data Analysis & Visualization in the Discovery Integration Sciences team, you will be responsible for leading activities to integrate GSK’s foundational causal biology data with data generated through discovery processes and make the resulting data products Findable, Accessible, Interoperable, and Reusable (FAIR) and available to R&D scientists, both directly through visualizations/interfaces and via agentic systems for real‑time decision making. In this role, you will work and lead across scientific and technical disciplines with a strong focus on causal mechanistic understanding to deliver impactful solutions, build trusting relationships and realize lasting business value in a matrix environment.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in‑office work.

This position is based 2-3 days per week in Stevenage or London

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

In this role you will

• Design and deliver scientific visualizations and underlying data structures to surface multi-modal scientific data generated across biopharma discovery activities in an integrated and actionable manner based on a causal mechanistic representation of disease.
• Build, test and optimise robust and performant scientific visualizations and applications that enable real time exploration of large-scale interconnected data packages managed on GSK’s Onyx Research Data Platform and the capture of human insight.
• Collaborate across departments, with scientists evaluating integrated data packages to progress the portfolio, and with data, knowledge and software engineers, to enable robust knowledge foundations and maturation of best-in-class visualizations into production applications.
• Contribute to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK.
• Understand the internal and external landscape of data integration, visualization and access principles to build identify and create high-value scientific visualizations.

Why you?

Basic Qualifications & Skills:

• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Software Engineering, Life Sciences or related field.
• Extensive experience in scientific data analysis and visualization, with a strong preference for experience in pharma/biotech.
• Extensive experience in front end technologies: JavaScript, Typescript, ReactJS, AngularJS or similar.
• Extensive experience with at least one common web backend language: e.g. Python, Scala, Java, Javascript (Node.js) including toolchains for documentation testing and operations/observability.
• Extensive experience with modern software development tools and ways of working (e.g. git/GitHub, DevOps tools, metrics/monitoring, …).
• Extensive experience building complex scientific data visualizations using visualization frameworks like D3.js, Plotly, Matplotlib, or similar.
• Extensive experience building and visualizing complex scientific data assets with semantically designed schemas leveraging relational and graph technologies.

Preferred Qualifications & Skills:

• Specific experience with Knowledge Graph efforts.
• Experience with open-source ontology tools, data formats and languages (e.g. protégé, SPARQL, OWL, SKOS, SHACL, RML).
• Demonstrated experience establishing and managing external partnerships in an industrial setting.
• Track record of change leadership driving lasting adoption of scientific analysis and visualization tool within an organization.

Closing Date for Applications – 12th December 2025 (EOD)

Please take a copy of the Job Description, as this will not be available post closure of the advert.

When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting‑edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Find out more:

Our approach to R&D.

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 on [e-mail] or 0808 234 4391. The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.

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