GSK
Computational Sciences (Multiple Roles) Industrial Placement, 2027
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Choose Wisely, Apply Confidently
To maximize 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
See individual roles for degree requirements. 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.
Pre-application Activity
Before applying, you'll need to obtain an application code by completing a short activity in Connectr, our candidate engagement platform. This activity is designed to encourage considered applications. Once completed, you'll receive your unique application code required to proceed with your application.
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
September 2027
Duration
1 year (approximately)
Salary
A salary of £26,400 plus a bonus.
Workplace Arrangements
Please read the workplace arrangements for each role carefully before applying.
Application Closing
Roles are expected to close on 13/10/2026, however, candidates will be reviewed regularly, and the advert may close at any point. Please ensure you review and complete the application stages below.
A GSK Internship Offers You
- The opportunity to kickstart your career – to take on a real role with genuine impact.
- Challenging tasks within live projects or assignments.
- Learning from others in your team and other parts of GSK while 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: personalize 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
- 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)
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The Roles (3 Available)
This advert contains multiple roles. Please read each role carefully before proceeding as you will be asked to provide a preference in the application process.
Role 1 - Systems Toxicology and Data
Degree Requirements: Biomedical/Life Sciences/Genetics/Genomics/Molecular Biology/Toxicology
Workplace Arrangements: Full time on site required
Overview of the Department Non-clinical Safety is responsible for evaluating whether a candidate medicine has an acceptable safety profile to progress into clinical testing, and for supporting risk assessment throughout development. This includes the early identification and characterisation of potential safety liabilities, the design and interpretation of in vitro and in vivo studies where appropriate, and investigations into the underlying mechanisms of toxicity.
Key Placement Learnings
- Work within a molecular biology laboratory to investigate mechanisms of toxicity, applying a range of omics-based techniques to support pre-clinical safety assessments.
- Perform laboratory-based experiments including cell culture, NGS library preparation, single-cell RNA sequencing (scRNA-seq), qPCR, and laboratory automation workflows.
- Apply coding, bioinformatics, and data science approaches to analyse complex biological datasets, supporting toxicogenomic investigations and the evaluation of drug safety profiles.
- Conduct data analysis to inform scientific decision-making, validate experimental systems, and generate insights into potential adverse effects of drug candidates.
- Collaborate with multidisciplinary teams across biology, toxicology, bioinformatics, and data science, contributing to project delivery and knowledge sharing.
- Participate in team meetings and deliver presentations on project progress, results, and recommendations to scientific stakeholders.
- Develop a strong understanding of the end-to-end drug discovery and development pipeline, with practical experience applying advanced omics technologies to support non-clinical toxicology and drug development programmes.
Role 2 - Quantitative Toxicologist
Degree Requirements: Physical Science (e.g. mathematics, statistics, chemistry, engineering, physics or computing) OR Biological Science (e.g. biology, biomedical science, physiology, molecular biology) with an A level in mathematics or physics.
Workplace Arrangements: Flexible working via performance with choice (office and home working available)
Overview of the Department The Non-Clinical Safety Department is responsible for assessing the safety profile of medicines in development by identifying and understanding potential adverse effects before clinical testing in humans. Within the Systems Toxicology and Data Team, this placement involves applying computational and data-driven approaches to analyse, model, and integrate toxicology data from multiple sources. Working closely with toxicologists and multidisciplinary scientists, the role supports evidence-based decision-making and contributes to the understanding of non-clinical safety risks throughout drug development.
Key Placement Activities
- Applied computational methods, including data analysis and dose-response modelling, to support non-clinical safety assessments and decision-making.
- Analysed and integrated toxicology data from in vitro, in vivo, and in silico studies to support the evaluation of drug safety profiles.
- Developed data visualisation and modelling outputs to identify trends, interpret results, and answer key safety questions.
- Collaborated with toxicologists and multidisciplinary teams to understand non-clinical safety challenges and provide computational solutions.
- Documented methodologies, analyses, and findings accurately, ensuring results were communicated clearly and effectively to stakeholders.
- Utilized programming tools such as R, Python, or MATLAB to manage, analyze, and model complex scientific datasets.
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Role 3 – Cheminformatics
Degree Requirements: Chemistry, Physics, Pharmacy, Maths or Computer Science.
Workplace Arrangements: Full time on site required
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.
- 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 2027:
- Complete Connectr activity – obtain your personal code - please follow this link to complete.
- Eligibility Form – enter your personal code
- GSK Digital Assessment
- Some technical roles may require a short technical assessment
- Virtual Assessment Centre or Virtual Interview
Note: Your Connectr application code is unique and must not be shared. Using someone else's code, or sharing your own, may result in your application being withdrawn.
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 UK.InternRecruitment@gsk.com or call us on 01582 692870 and let us know how we can help you.
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Skills
- Analytical Thinking
- Drug Discovery Process
- Genomics
- Life Science
- Statistics
Why GSK?
Uniting science
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