Job description 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 this placement, you must be: Currently studying an Undergraduate Degree in Life sciences, Biomedical Sciences, Engineering, Biochemistry, Mathematics, Bioinformatics, Computational Sciences, Computational Biology, Statistics, Physics and for Role 2 have an A Level or equivalent in Mathematics. 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 : September 2026 Duration : 1 year (approximately) Salary : A salary of £25,400 plus a bonus. Workplace arrangements: Please read the workplace arrangements for each role carefully before applying. Application Closing : Early applications are encouraged as candidates will be reviewed regularly and the advert may close at any point. 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 (4 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 – Computational Scientist, Human Genetics and Genomics Degree requirements: Biomedical sciences, Molecular Biology, Human Genetics, Mathematics, Statistics Working Arrangements: Flexible working via performance with choice (office & home working may be available) Overview of the Department We are seeking to recruit an enthusiastic undergraduate student with a strong interest in computational biology and bioinformatics. The successful candidate will contribute to a range of innovative projects, gaining hands-on experience with real-world datasets and computational pipelines. This placement offers a unique opportunity to develop practical skills in data analysis, coding, and biological interpretation, while gaining exposure to the drug discovery process in an industrial setting. Key Placement Learnings Processing and analysis of high-throughput data (e.g., Transcriptomics, Proteomics) Integration of multi-omics datasets to support biomarker discovery and mechanistic insights Development and application of computational pipelines using R, Python, or similar tools Visualisation and interpretation of complex biological data Collaboration with wet-lab scientists to translate computational findings into biological hypotheses Documentation of workflows and presentation of results at team meetings Role 2 – Oncology Translational Research (Computational Non-Lab) Degree requirements: Ideally a degree in Bioinformatics, Computational Biology, Biological/Biomedical Sciences, Biochemistry, or a related discipline. Working Arrangement: Flexible working via performance with choice (office & home working may be available) Overview of the Department The Organoid & Tissue Explant Analytics Group in the Oncology Translational Research Department applies cutting-edge computational and bioinformatics approaches to support translational research and biomarker discovery. Our work bridges experimental biology with data science, enabling deep insights into complex biological systems using high-dimensional datasets derived from organoid and tissue explant models. We are seeking to recruit an enthusiastic undergraduate student with a strong interest in computational biology and bioinformatics. The successful candidate will contribute to a range of innovative projects, gaining hands-on experience with real-world datasets and computational pipelines. This placement offers a unique opportunity to develop practical skills in data analysis, coding, and biological interpretation, while gaining exposure to the drug discovery process in an industrial setting. Key Placement Learnings Processing and analysis of high-throughput sequencing data (e.g., RNA-seq, single-cell RNA-seq) Integration of multi-omics datasets to support biomarker discovery and mechanistic insights Development and application of computational pipelines using R, Python, or similar tools Visualisation and interpretation of complex biological data Collaboration with wet-lab scientists to translate computational findings into biological hypotheses Documentation of workflows and presentation of results at team meetings Role 3 - Systems Toxicology and Data Degree requirements: Physical Science (E.G. Chemistry, Engineering, Mathematics, Statistics) OR Biological Science (E.G. Biology, Biomedical Sciences, Physiology) and must have an A Level or equivalent in Mathematics Workplace Arrangements: Full time on site required Overview of the Department The R&D Non-Clinical Safety (NCS) organisation delivers state-of-the-art mechanistic safety studies with novel modelling and risk assessment approaches and multi-disciplinary expertise. NCS applies cellular, molecular and computational approaches to elucidate mechanisms of toxicity, understand species differences, and identify translational safety biomarkers to inform project decisions. Key Placement Learnings Work within a molecular biology laboratory to develop and apply omics-based techniques to study mechanisms of toxicity. Gain expertise in coding, bioinformatics, and data science approaches to understand safety profiles of drugs in development and explore potential adverse effects (toxicogenomics). Internal collaboration with multi-disciplinary teams. Data analysis to inform and validate experimental systems. Participate in team meetings and present on project progress. Understand the role of non-clinical safety assessment in drug discovery and development. Role 4 – Bioinformatics Degree requirements: Undertaking a relevant life sciences degree. Working Arrangement: Flexible working via performance with choice (office & home working may be available) Overview of the Department This is an exciting opportunity to join the Respiratory, Immunology and Inflammation Biology and Translational Units (RIIBU/TU), which oversee preclinical and early clinical assets across several disease areas including lung, kidney, and rheumatology. The Units consist of multiple disease-aligned groups including Inflammation and Fibrosis, Renal, Respiratory and Translational Sciences. This role will be within the Analytics or Translational team. Key Placement Learnings Combining biological knowledge and analytic skills to maximise impact in progressing new medicine opportunities. Coding in R. Implementing bioinformatic analysis workflows to deliver foundational and project-aligned RNA-sequencing data. Developing intricate data-dashboards for lab assay outputs to make results interactive and impactful for our biology experts. Training others in analytics and elevating the digital fluency of the department. Close collaboration with our business partners in Human Genetics and Genomics, AIML, Data and Predictive Sciences, and Research Statistics. 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. Some technical roles may require a short technical assessment 4. 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 UK.InternRecruitment@gsk.com or call us on 01582 692870 and let us know how we can help you. Internships UKEarlyCareers GSKIndustrialPlacements GSKSciencePlacements GSKBiologyPlacements GSKChemistryPlacements GSKResearch&Development GSKSTEMPlacements GSKStevenage 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. 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