Description

Choose Wisely, Apply Confidently

To maximise your opportunities at securing an Industrial Placement with us this year, we strongly advise that you apply to no more than 3 adverts. (For clarity, multiple roles within a single advert are considered one application.)

We encourage you to concentrate your efforts on the roles that best align with your skills, interests and university experience, as this will strengthen your application and give you the best chance of success.

Roles Available in Location: Stevenage

Education required:  To apply for a placement in Data, Automation, & Predictive Sciences (DAPS), you must be studying for an Undergraduate Degree in a subject related to the role. This varies for each role (defined below) and includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or a related field.

Please read the degree requirements for each role carefully before applying.

Other requirements:  You will have completed a minimum of 2 years of your undergraduate degree but will not have graduated at the start of your placement. You must be enrolled at a UK (United Kingdom) or ROI (Republic of Ireland) University for the duration of your placement.

If you have already graduated with a Bachelor's Degree and are currently studying a postgraduate Masters, you are not eligible for this programme.

Language requirement: Written and spoken fluency in English

Expected Start date: July 2026

Duration: 1 year (approximately)

Salary:  A salary of £25,400 plus a bonus.

Workplace Arrangements: Flexible working via performance with choice (office & home working may be available)

Application Closing: Early applications are encouraged as candidates will be reviewed regularly, and the advert may close at any point.

Are you looking to gain valuable real world work experience and help positively impact the lives of others?

A GSK internship offers you the opportunity to kickstart your career to take on a real role with genuine impact. You'll take on challenging tasks within live projects or assignments.  You'll also get to learn from others in your team and other parts of GSK whilst developing your skills and gaining valuable experience for wherever the future takes you.

What do we offer you?

• A competitive salary, with an annual bonus based on company performance.

• Employee recognition programs, which reward exceptional achievements.

• Access to our cutting-edge wellbeing platform: personalise your experience, help reduce stress, increase focus, build connections and resilience. You will also have access to a confidential helpline 24/7, mindfulness, health screenings and financial wellbeing support. 

• Access to Private Healthcare Insurance, including 24-hour access to an online GP.

• Optional Support: Includes identity protection, long-term care insurance, home, auto, and pet insurance

• Opportunities to work with Employee Resource Groups, providing opportunities to network, gain mentorship, and develop personally and professionally.

• Access to IPUnite which is a community of Early Careers programme participants offering development, networking and social connections to help you make the best of your programme. You will also be invited to join LinkedIn groups and pre-joining webinars, to enable you to connect and network with new students.

• 2 volunteering days per year

Typical skills you can expect to learn on this placement will include:

• Teamworking through working with multidisciplinary teams

• Communication (written & verbal)

• Time management

• Problem-solving

• Networking

• Data analysis and management

• Technical skills (detailed within each role description)

The Roles (6 available)

This advert contains multiple roles. All roles are within the Data, Automation & Predictive Sciences Department. Please read each description carefully before applying.

Department Overview

Data, Automation, and Predictive Sciences (DAPS) is transforming GSK's research into a model-driven, lab-in-an-automated-loop ecosystem that accelerates innovation, enhances scientific rigor, and delivers transformative medicines to patients faster. To this end, DAPS focuses on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets in the clinic and unlock upper quartile ambitions. Our open Industrial Placement roles provide opportunities in a range of different areas that together contribute to our lab-in-an-automated loop ambitions so you can find out where your skills fit best.

Role 1 Research Data Science

Degree requirements: Life sciences, Bioinformatics, Computational sciences, Statistics, Mathematics

Placement Overview

The Research Data Science placement in DAPS involves designing, building, and deploying data analyses and predictive models for scientific discovery in GSK's research areas. The role will involve implementing and benchmarking different computational methods leveraging modern technologies (e.g. cloud, AIML) to produce insightful and informative results that enable key decisions in the early target and medicine discovery portfolio.

Key Placement Learnings

• Performing analyses and building predictive models working in programming languages such as R and Python, while following best practice coding standards and leveraging cloud platforms.

• Processing, analysing and integrating scientific data (e.g. transcriptomics, proteomics, assay).

• Benchmarking approaches to quantitatively compare different algorithms/approaches.

• Interacting with laboratory and computational scientists to understand scientific context.

Role 2 Scientific Data Engineering

Degree requirements: Physical Science (E.G. Chemistry, Engineering, Mathematics, Statistics) OR Biological Science (E.G. Biology, Biomedical Sciences, Physiology) or equivalent

Placement Overview

The Scientific Data Engineering placement in DAPS involves the design, build, and deployment of data pipelines, analyses and visualizations that interact with databases containing GSK's research data to address complex scientific use cases. The role will involve leveraging cloud native enterprise data platforms to deliver scientific data solutions that accelerate early discovery activities in GSK.

Key Placement Learnings

• Design and build scientific data pipelines using technologies like python, R, and Nextflow and working on GCP to automate data flows in research context.

• Interact with databases (e.g. PostgreSQL, BigQuery) to manage data and create views.

• Create analysis tools and dashboards based on scientific end user requirements to effectively communicate results from scientific experiments for decisions.

• Work in multidisciplinary team environments and develop presentation and communication skills.

Role 3 Cheminformatics

Degree requirements: Chemistry, Physics, Pharmacy, Maths or Computer Science.

Placement Overview

The Cheminformatics placement in DAPS involves applying computational techniques to discover better and safer small molecule medicines for patients. We use both modern and generative models for use in drug discovery and to solve problems encountered by our drug design teams. Furthermore, we work with state-of-the-art computational methods and infrastructure, including 2D and 3D modelling, quantum mechanics and molecular simulation. On this placement, you will work in a team with diverse research interests including classical cheminformatics, machine learning, explainable AI, uncertainty estimation, transfer learning and generative design using large internal molecular datasets.

Key Placement Learnings

• Conduct data analysis and visualisation using cutting edge data and tools.

• Contribute code to our machine learning platforms and models that we are developing on site.

• Implement and evaluate novel methods which add to our automated design platform.

• Utilise datasets from various fields such as bioactivity, physical chemistry properties, DMPK and Toxicology.

Role 4 Laboratory Automation

Degree requirements: Engineering, Computer Science, Life Sciences (e.g. Chemistry, Biology) or related.

Placement Overview

The Laboratory Automation placement in DAPS involves contributing to the design, build, and deployment of automation systems and robotics for complex scientific use cases. The role will involve (i) designing and implementing automation solutions and for physical laboratory processes and data flows and (ii) automating scientific workflows to reduce scientist hands on time, improve data quality and throughput and enable new capabilities.

Key Placement Learnings

• Produce robust automation workflows that support a diverse portfolio of research activities and seamless data flow. 

• Collaborate with cross-functional teams, including scientists, IT, and engineering to apply automation to key scientific initiatives. 

• Utilise skills in liquid handler scripting languages, programming language R/Python and/or system schedulers to enhance functionality and value of GSK automation.

• Collaborate with technical teams to establish requirements and develop comprehensive automation solutions in partnership with integration vendors.

Role 5 Lab Data Process Optimization

Degree Areas: Business Analysis, Information Systems, Computer Science, Biotechnology or related.

Placement Overview

The Lab Data Process Optimization placement in DAPS involves supporting the analysis and optimization of lab processes and data workflows in early discovery to enable the delivery of end-to-end technical solutions that improve and optimize these processes and workflows. This work involves collaborating with subject matter experts to define and refine business requirements, create user stories, analyse workflows, and ensure alignment with user needs.

Key Placement Learnings

• Conduct business analysis to gather and document needs from a scientific user perspective.

• Produce or update process maps to visualise workflows and identify optimization opportunities.

• Develop user stories that articulate the features required for technical implementation

• Test technical solutions developed by working with users to define acceptance criteria and facilitating user testing.

Role 6 Research Data Strategy

Degree Areas: Engineering, Computer Science, Life Sciences (e.g. Chemistry, Biology) or related.

Placement Overview

The Research Data Strategy placement in DAPS is focused on developing and applying the data standards and governance required to ensure that GSK's research data, whether generated internally or acquired externally, is treated as a strategic asset and can be used confidently by scientists to drive discovery and innovation. You will have the opportunity to contribute to articulating what it means for our data to be properly annotated, findable, accessible, interoperable, and reusable (FAIR) as well as applying these principles in practice.

Key Placement Learnings

• Analyse workflows and data structures to ensure data quality and integrity.

• Define and implement controlled vocabularies and ontologies appropriate for analysis.

• Integrate datasets across multiple modalities needed for drug discovery and development.

• Interact with scientists and technical teams to elevate data standards.

Apply now!

These placement opportunities have the following recruitment stages you must successfully pass each stage to be offered a placement year with GSK for 2026:

1.           Eligibility Form

2.           GSK Digital Assessment

3.           Virtual Assessment Centre or Virtual Interview

You can find hints and tips on our recruitment process and get guidance from real GSK mentors on our Early Careers Hub here.

We're 100% open to all talent. We want to recruit the right people for GSK from the widest possible backgrounds, so we can better serve the inclusion of our patients and because it's the right thing to do. You can learn more about Inclusion at GSK here.

For more information about GSK and our careers please visit our website here.

Need help with your application? Please email us at [email protected] or call us on 01582 692870 and let us know how we can help you.

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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.

Please don't hesitate to contact us if you'd like to discuss any reasonable adjustments to our process which might help you demonstrate your strengths and capabilities.

For UK Intern roles (including Industrial Placements) you can either call us on 01582 692870, or send an email [email protected]

For UK Apprentice and Graduate Programme roles you can either call us on 0203 862 2277, or send an email [email protected]

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