Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, 2027 at GSK | GB | Rezi

Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, 2027 at GSK

Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, 2027

GSK · GB

Yesterday

Programming, Statistics & Data Science (Multiple Roles) Industrial Placement, 2027

GSK · GB

a day ago
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About the Role

This is an opportunity to gain valuable real-world work experience and positively impact the lives of others. A GSK internship offers the chance to kickstart your career by taking on a real role with genuine impact, challenging tasks within live projects, and learning from experienced professionals while developing skills for the future.

Responsibilities

  • Support professional statisticians in the design of studies and clinical trials.
  • Work with professional statisticians in preparing statistical analysis plans, model development, output QC, and 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.
  • Collaborate with statisticians and fellow professional programmers as part of a study team to develop datasets, tables, listings and figures for clinical trial reporting.
  • Participate in programming activities for clinical trial reporting using SAS and/or R programming languages, adhering to data standards and regulatory requirements.
  • Conduct quality control checks on clinical trial data and outputs, identifying and resolving discrepancies or issues.
  • Assist in the preparation of standard documentation, including dataset specifications and reviewer guides.
  • Contribute to non-project initiatives within GSK, supporting the development of the Biostatistics department.
  • Collaborate with the 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.
  • Become proficient in R programming and Python, leveraging version control through GitHub.
  • 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 apply them.
  • Experience the role of a statistical consultant, translating scientific or clinical problems into statistical ones.
  • Gain industry knowledge in various therapeutic areas, overseeing projects covering multiple GSK drugs.

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.
  • Written and spoken fluency in English is required.

Skills

  • Teamworking
  • Communication (written & verbal)
  • Time management
  • Problem-solving
  • Networking
  • Data analysis and management
  • Technical skills (detailed within each role description)
  • Applied Statistics
  • Data Analysis
  • Data Engineering
  • Data Science
  • Datasets
  • Drug Development
  • Drug Discovery Process
  • Drug Target Identification
  • Genetic Analysis
  • Genomic Analysis
  • Machine Learning (ML)
  • Software Engineering
  • SAS programming
  • R programming
  • Python programming
  • GitHub

Location

  • GSK HQ London

Work Type

  • Flexible working via performance with choice (office & home working may be available)

Experience Level

  • Industrial Placement

Education Level

  • Mathematics / Statistics / Data Sciences BSc
  • Computer Science, Mathematics, Statistics, or a Science/Technology related discipline

Salary/Compensations

  • £28,900 (London) plus a bonus.

Benefits

  • A competitive salary, with an annual bonus based on company performance.
  • Employee recognition programs.
  • Access to our cutting-edge wellbeing platform.
  • 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.
  • Access to IPUnite community.
  • Invitation to join LinkedIn groups and pre-joining webinars.
  • 2 volunteering days per year.

About the Company

  • 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.
  • We believe in an agile working culture for all our roles.

Equal Opportunity

  • 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.