Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, 2027
London, England
Internship
Hybrid
Intern
GSK is a global biopharma company focused on using science, technology and talent to prevent and treat disease through specialty medicines and vaccines. This industrial placement offers opportunities across biostatistics, clinical programming, business excellence, quantitative sciences innovation and data science, supporting clinical research, statistical analysis, machine learning and drug development projects.
Responsibilities
Support professional statisticians in the design of studies and clinical trials (e.g. sample size determination and randomisation)
Work with professional statisticians in preparing statistical analysis plans, model development, output QC, and the communication of results
Collaborate with cross-functional teams (e.g. scientists, clinicians)
Develop statistical programming skills in R and other software
Develop an understanding of statistical methods used throughout drug development
Learn 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
Collaborate with statisticians and fellow professional programmers as part of a study team to develop datasets, tables, listings and figures to aid clinical trial reporting
Participate in programming activities for clinical trial reporting using SAS and/or R programming languages, whilst adhering to data standards and regulatory requirements
Conduct quality control checks on clinical trial data and outputs, identifying and resolving discrepancies or issues where possible and flagging data issues to necessary stakeholders
Assist in the preparation of standard documentation, including dataset specifications and reviewer guides
Opportunities to be involved in and contribute to other non-project initiatives within GSK, contributing towards development of the Biostatistics department
Collaborate with your team to develop and explore novel methods for handling prediction problems
Gain hands on coding experience developing Machine Learning and prediction modelling pipelines
Understand the background and statistical methods important for drug development
Provide analysis, reporting and interpretation of modelling projects
Work in close consultation with professional methodologists and scientists working in medicine and vaccine development
Become proficient in R programming and Python. Leverage version control through GitHub to enable collaboration
Develop new skills working in an ‘agile’ way delivering on projects over short ‘sprints’
Learn the theory of new statistical and machine learning methodologies and how to apply it by collaborating with highly skilled statisticians and attending training courses
Experience the role of a statistical consultant, working closely with cross-functional teams to translate scientific or clinical problems into statistical ones
Gain industry knowledge in potentially a wide range of therapeutic areas, overseeing short-term or long-term projects that cover multiple GSK drugs
Qualification
Required
**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
**Language requirement**: Written and spoken fluency in English
Degree requirements: Mathematics / Statistics / Data Sciences BSc
Degree requirements - Mathematics, Statistics, Data Sciences
Preferred
Degree requirements - Preferably Computer Science, Mathematics, Statistics, or a Science/Technology related discipline
Benefits
An annual bonus based on company performance.
Employee recognition programs, which reward exceptional achievements.
Access to a cutting-edge wellbeing platform, including 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 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, a community of Early Careers programme participants offering development, networking and social connections.
Invitation to join LinkedIn groups and pre-joining webinars to connect and network with new students.
2 volunteering days per year.
Flexible working via performance with choice (office & home working may be available).
GSK manufactures pharmaceutical medicines, vaccines, and consumer healthcare products.
