Data, Automation & Predictive Sciences (Multiple Roles) Industrial Placement, UK 2026

Site: UK - Hertfordshire - Stevenage

Posted Date: Sep

Overview

Choose Wisely, Apply Confidently. To maximise opportunities for an Industrial Placement this year, apply to no more than three adverts. Focus on roles that best align with your skills, interests and university experience to strengthen your application.

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. Includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or related fields. 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.

What you will gain: A real role with genuine impact in GSK with opportunities to work on live projects, learn from team members and develop your skills for the future.

What we offer you

• A competitive salary, with an annual bonus based on company performance.
• Employee recognition programs, which reward exceptional achievements.
• Access to wellbeing resources and confidential support services, including mindfulness, health screenings and financial wellbeing support.
• Private Healthcare Insurance and online GP access.
• Optional protection benefits including identity, long-term care, home, auto and pet insurance.
• Opportunities to engage with Employee Resource Groups for mentorship and development.
• IPUnite community for development, networking and social connections, plus joining 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: Designing, building, and deploying data analyses and predictive models for scientific discovery in GSK's research areas. Implementing and benchmarking computational methods leveraging cloud and AI/ML technologies to inform early target and medicine discovery decisions.

Key Placement Learnings:

• Perform analyses and build predictive models using R and Python, following coding best practices and using cloud platforms.
• Process, analyze and integrate scientific data (e.g., transcriptomics, proteomics, assays).
• Benchmark approaches to compare different algorithms.
• 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, delivering scientific data solutions on cloud platforms.

Key Placement Learnings:

• Design and build data pipelines using Python, R, Nextflow; work on GCP to automate data flows.
• Interact with databases (e.g., PostgreSQL, BigQuery) to manage data and create views.
• Create analysis tools and dashboards to communicate results for decision-making.
• 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, using modern and generative models, 2D/3D modelling, quantum mechanics and molecular simulation. Work with diverse research interests including cheminformatics, ML, explainable AI, uncertainty estimation, transfer learning and generative design using large internal molecular datasets.

Key Placement Learnings:

• Conduct data analysis and visualization with cutting edge tools.
• Contribute code to ML platforms and models developed on site.
• Implement and evaluate novel methods for automated design platforms.
• Utilize 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: Design, build, and deploy automation systems and robotics for complex scientific use cases. Automate laboratory processes and data flows to reduce hands-on time and improve data quality and throughput.

Key Placement Learnings:

• Produce robust automation workflows and enable seamless data flow.
• Collaborate with scientists, IT and engineering to apply automation to key initiatives.
• Use liquid handler scripting languages, R/Python and schedulers to enhance automation.
• Work with integration 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 that improve these processes. Collaborate with subject matter experts to define requirements and ensure alignment with user needs.

Key Placement Learnings:

• Conduct business analysis to gather and document needs from scientific users.
• Produce or update process maps to visualize 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 (e.g., Chemistry, Biology) or related

Placement Overview: Develop and apply data standards and governance to ensure research data is treated as a strategic asset. Focus on making data FAIR (findable, accessible, interoperable, reusable) and applying these principles in practice.

Key Placement Learnings:

• Analyze workflows and data structures to ensure data quality and integrity.
• Define and implement controlled vocabularies and ontologies.
• Integrate datasets across multiple modalities for drug discovery and development.
• Collaborate with scientists and technical teams to elevate data standards.

Apply and Recruitment Stages

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 learn more about Inclusion at GSK and other information about careers on the GSK site. For UK Intern roles, contact details and emails are provided for assistance with applications.

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, pregnancy, gender identity, sexual orientation, parental status, national origin, age, disability, genetic information, military service, or any basis prohibited by law.

GSK supports an agile working culture. If flexibility is important, discuss with the hiring team what opportunities exist. If reasonable adjustments are needed, contact the recruitment team.

Important notice: GSK does not accept referrals from employment agencies without prior written authorization.