{"id":2862804,"url":"https://alion.io/job/gsk-programming-statistics-data-science-multiple-roles-industrial-placement-2027","title":"Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, 2027","company":{"id":6649,"name":"GSK","domain":"gsk.com","url":"https://alion.io/company/gsk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":42,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":133000,"period":"year","method":"role_seniority_country_cell","sample_n":16},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-24T04:20:21Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Choose Wisely, Apply Confidently\nTo 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.)\nWe 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.\nRoles Available in Locations:GSK HQ London\nEducation required:See individual roles for degree requirements\nPlease read the degree requirements for each role carefully before applying.\nOther 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.\nPre-application activity:Before applying, you'll need to obtain an application code by completing a short activity in Connectr, our candidate engagement platform.\nThis activity is designed to encourage considered applications. Once completed, you'll receive your unique application code required to proceed with your application.\nIf you have already graduated with a Bachelor’s Degree and are currently studying a postgraduate Masters, you are not eligible for this programme.\nLanguage requirement: Written and spoken fluency in English\nExpected Start date:September 2027\nDuration:1 year (approximately)\nSalary:A salary of £28,900 (London) plus a bonus.\nWorkplace Arrangements: Flexible working via performance with choice (office & home working may be available)\nApplication Closing: Roles are expected to close on 22/10/2026, however, candidates will be reviewed regularly, and the advert may close at any point. Please ensure you review and complete the application stages below.\nAre you looking to gain valuable real world work experience and help positively impact the lives of others?\nA 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.\nWhat do we offer you?\nA competitive salary, with an annual bonus based on company performance.\nEmployee recognition programs, which reward exceptional achievements.\nAccess 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. \nAccess to Private Healthcare Insurance, including 24-hour access to an online GP.\nOptional Support: Includes identity protection, long-term care insurance, home, auto, and pet insurance\nOpportunities to work with Employee Resource Groups, providing opportunities to network, gain mentorship, and develop personally and professionally.\nAccess 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.\n2 volunteering days per year\nTypical skills you can expect to learn on this placement will include:\nTeamworking through working with multidisciplinary teams\nCommunication (written & verbal)\nTime management\nProblem-solving\nNetworking\nData analysis and management\nTechnical skills (detailed within each role description)\nThe Roles (3 available)\nThis advert contains multiple roles. Please read each role carefully before proceeding as you will be asked to provide a preference later in the application process.\nRole 1 - Biostatistics & Data Science - GSK HQ London\nDegree requirements: Mathematics / Statistics / Data Sciences BSc\nOverview of the Department\nRespiratory, Immunology and Inflammation (RII) Biostatistics is part of the RII Research Unit (RIIRU), a department focused on developing innovative medicines for respiratory, immune and inflammatory diseases. RII statisticians play a key role throughout the research and development of the drug pipeline, working closely with scientists, clinicians in areas such as medicine discovery, clinical trial design and statistical analysis. We provide statistical expertise in the design of studies and clinical trials (e.g. sample size determination and randomisation strategies), as well as the performing analysis and providing interpretation of data.\nKey Placement Activities\nSupport professional statisticians in the design of studies and clinical trials (e.g. sample size determination and randomisation).\nWork with professional statisticians in preparing statistical analysis plans, model development, output QC, and the communication of results.\nCollaborate with cross-functional teams (e.g. scientists, clinicians).\nDevelop statistical programming skills in R and other software.\nDevelop an understanding of statistical methods used throughout drug development.\nLearn and apply statistical methods through project work and internal training on advanced topics e.g. Quantitative Decision Making, Bayesian Dynamic Borrowing, Dose Response Modelling, etc.\nRole 2 - Clinical Programming and Business Excellence - GSK HQ London\nDegree requirements - Preferably Computer Science, Mathematics, Statistics, or a Science/Technology related discipline.\nOverview of the Department\nClinical Programming play a critical role within the Biostatistics department. We support clinical research teams by performing programming and validation of datasets and outputs for the analysis and reporting of clinical trial data. Meanwhile ensuring data quality, accuracy and adherence to data standards and regulatory requirements. Clinical Programming collaborate closely with cross-functional teams such as Statistics, Data Management and Clinical teams to ensure data is fit for purpose and meets requirements for study analysis and reporting. This placement year will provide you with exposure to industry-standard tools, methodologies, and regulatory requirements while contributing to the advancement of life-changing therapies. You will gain an insight into cutting-edge clinical research and the development processes, with the opportunity to learn from and network with experienced professionals within GSK.\nKey Placement Learnings\nCollaborate with statisticians and fellow professional programmers as part of a study team to develop datasets, tables, listings and figures to aid clinical trial reporting.\nParticipate in programming activities for clinical trial reporting using SAS and/or R programming languages, whilst adhering to data standards and regulatory requirements.\nConduct quality control checks on clinical trial data and outputs, identifying and resolving discrepancies or issues where possible and flagging data issues to necessary stakeholders.\nAssist in the preparation of standard documentation, including dataset specifications and reviewer guides.\nOpportunities to be involved in and contribute to other non-project initiatives within GSK, contributing towards development of the Biostatistics department.\nRole 3 - Quantitative Sciences Innovation - GSK HQ London\nDegree requirements - Mathematics, Statistics, Data Sciences\nOverview of the Department\nThis is an exciting opportunity to join GSK and gain exposure for innovation in the field of Statistics and Data Science to help transform the way in which we use data and quantitative thinking to drive decision-making in R&D. We are growing our cutting-edge statistical innovation and data science capabilities by expanding the Quantitative Sciences Innovation (QSI) group led by Nicky Best. QSI is a methodologically focused, solution-oriented functional group within GSK’s Biostatistics department.\nKey Placement Learnings\nCollaborate with your team to develop and explore novel methods for handling prediction problems\nGain hands on coding experience developing Machine Learning and prediction modelling pipelines\nUnderstand the background and statistical methods important for drug development\nProvide analysis, reporting and interpretation of modelling projects\nWork in close consultation with professional methodologists and scientists working in medicine and vaccine development\nBecome proficient in R programming and Python. Leverage version control through GitHub to enable collaboration\nDevelop new skills working in an ‘agile’ way delivering on projects over short ‘sprints’\nLearn the theory of new statistical and machine learning methodologies and how to apply it by collaborating with highly skilled statisticians and attending training courses\nExperience the role of a statistical consultant, working closely with cross-functional teams to translate scientific or clinical problems into statistical ones\nGain industry knowledge in potentially a wide range of therapeutic areas, overseeing short-term or long-term projects that cover multiple GSK drugs\nApply now!\nThese placement opportunities have the following recruitment stages - you must successfully pass each stage to be offered a placement year with GSK for 2027:\n1. Complete Connectr activity - obtain your personal code - please follow this link to complete\n2. Eligibility Form - enter your personal code\n3. GSK Digital Assessment\n4. Some technical roles may require a short technical assessment\n5. Virtual Assessment Centre or Virtual Interview\nNote: 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.\nYou can find hints and tips on our recruitment process and get guidance from real GSK mentors on our Early Careers Hub here.\nWe’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.\nFor more information about GSK and our careers please visit our website here.\nNeed help with your application? Please email us at  or call us on 01582 692870 and let us know how we can help you.\n#Internships #UKEarlyCareers #GSKIndustrialPlacements #GSKResearch&Development #GSKSTEMPlacements #GSKLondon\nSkills\nApplied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software EngineeringWhy GSK?\nUniting science, technology and talent to get ahead of disease together.\nGSK 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.\nPeople 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.\nGSK is an Equal Opportunity Employer. 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