Overview
Join to apply for the Data, Automation & Predictive Sciences (Multiple Roles) Industrial Placement, UK 2026 role at GSK
Site Name: UK - Hertfordshire - Stevenage
Posted Date: Sep 15 2025
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 or ROI 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 wellbeing platform with 24/7 confidential helpline, mindfulness, health screenings and financial wellbeing support.
* Private Healthcare Insurance, including 24-hour online GP.
* Optional Support: identity protection, long-term care insurance, home, auto, and pet insurance.
* Opportunities to work with Employee Resource Groups for networking and development.
* Access to IPUnite, a community for Early Careers programme participants, plus LinkedIn groups and pre-joining webinars.
* 2 volunteering days per year.
Typical skills you can expect to learn on this placement include: teamwork, communication, time management, problem-solving, networking, data analysis and management, and role-specific technical skills.
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.
Role 1 – Research Data Science
Degree requirements: Life sciences, Bioinformatics, Computational sciences, Statistics, Mathematics
Placement Overview: The Research Data Science placement involves designing, building, and deploying data analyses and predictive models for scientific discovery. You will implement and benchmark computational methods leveraging modern technologies (e.g. cloud, AIML) to produce results that enable key decisions in early target and medicine discovery.
Key Placement Learnings:
* Perform analyses and build predictive models using R and Python, following coding best practices and leveraging cloud platforms.
* Process, analyse and integrate scientific data (e.g. transcriptomics, proteomics, assays).
* Benchmark approaches to compare different algorithms/approaches.
* Interact with laboratory and computational scientists to understand scientific context.
Role 2 – Scientific Data Engineering
Degree requirements: Physical Science (Chemistry, Engineering, Mathematics, Statistics) or Biological Science (Biology, Biomedical Sciences, Physiology) or equivalent
Placement Overview: Design, build, and deploy data pipelines, analyses and visualizations that interact with databases containing GSK’s research data to address complex scientific use cases. Leverage cloud native platforms to deliver data solutions that accelerate early discovery activities.
Key Placement Learnings:
* Design and build scientific data pipelines using Python, R, Nextflow; work 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 to communicate results for decisions.
* Work in multidisciplinary teams and develop presentation and communication skills.
Role 3 – Cheminformatics
Degree requirements: Chemistry, Physics, Pharmacy, Maths or Computer Science.
Placement Overview: Apply computational techniques to discover better and safer small molecule medicines. Work with 2D/3D modelling, quantum mechanics and molecular simulation, in teams with diverse research interests including machine learning and generative design.
Key Placement Learnings:
* Conduct data analysis and visualisation using cutting edge tools.
* Contribute code to machine learning platforms and models.
* Evaluate novel methods for automated design.
* Utilise datasets from 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: Contribute to design, build, and deployment of automation systems and robotics for complex scientific use cases. Design and implement automation for laboratory processes and data flows; automate scientific workflows to reduce hands-on time and improve data quality and throughput.
Key Placement Learnings:
* Produce robust automation workflows that support diverse research activities and data flow.
* Collaborate with scientists, IT, and engineering to apply automation to key initiatives.
* Utilise liquid handler scripting languages and Python/R; work with schedulers to enhance automation.
* Collaborate with vendors to develop comprehensive automation solutions.
Role 5 – Lab Data Process Optimization
Degree Areas: Business Analysis, Information Systems, Computer Science, Biotechnology or related
Placement Overview: Support analysis and optimization of lab processes and data workflows in early discovery to deliver end-to-end technical solutions. Define business requirements, create user stories, analyse workflows, and align with user needs.
Key Placement Learnings:
* Conduct business analysis to gather needs from scientific users.
* Produce or update process maps to visualise workflows and identify opportunities.
* Develop user stories for technical implementation.
* Test technical solutions with users to define acceptance criteria.
Role 6 – Research Data Strategy
Degree Areas: Engineering, Computer Science, Life Sciences or related
Placement Overview: Develop and apply data standards and governance to ensure research data is treated as a strategic asset. Contribute to FAIR principles and practical application.
Key Placement Learnings:
* Analyse workflows and data structures to ensure data quality.
* Define controlled vocabularies and ontologies for analysis.
* Integrate datasets across modalities needed for drug discovery.
* Interact with scientists and technical teams to elevate data standards.
Apply now. This advert includes recruitment stages you must pass to be offered a placement year with GSK for 2026: Eligibility Form, GSK Digital Assessment, Virtual Assessment Centre or Virtual Interview. Hints and tips are available on our Early Careers Hub. GSK is an Equal Opportunity Employer. We value inclusion and flexibility across roles.
Contact: For UK Intern roles contact 01582 692870 or uk.InternRecruitment@gsk.com. For UK Apprentice and Graduate Programme roles contact uk.EarlyCareers@gsk.com.
Note: GSK does not accept referrals from employment businesses/agencies without prior written authorization. GSK may capture and report expenses for US-based roles as required by law. See cms openpayments data for details.
Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is an Equal Opportunity Employer and supports agile working. We encourage discussing reasonable adjustments with the hiring team.
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