Job Specifications
Site Name: Belgium-Wavre
Posted Date: Aug 11 2025
Help us get ahead of disease together with our Internship Programme
Education required: You are regularly enrolled in a Bachelor/Master or PhD in Physics, Statistics, Engineering, Mathematics, Computer sciences or Technical Research & Development in an Educational Establishment located in Europe.
Language requirement: You are fluent in English
Other requirements:
Previous hands on experience in relevant fields is highly recommended shown by cutting edge research experience or internships in startups or top tier companies
Good to strong coding aptitude is required in Python (link to a personal github repository is a plus)
Expected start date: All year
Duration: Minimum 4 months (exceptional candidates will be considered for 3 months) - Possibility to spread this between internship & Master thesis
Work arrangements: Hybrid and full remote are possible
Requisite: The internship must be mandatory & done in the framework of the curriculum, for which an agreement must be signed between GSK, the student and the Educational Establishment.
Remuneration: according to Belgian legal requirements, the internship will not be paid. However, some expenses will be reimbursed.
Application deadline: We will close this vacancy when we have enough applications, so please apply as soon as you can to be considered.
Are you looking to gain valuable world work experience and help to positively impact the health of billions of people? Apply for a GSK Internship today!
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, serious work on live projects or assignments. You'll also get to learn from us, develop your skills and gain valuable experience for wherever the future takes you.
What will you do?
On our internship program you'll receive tailored on-the-job training from industry experts combined with early responsibility to help you to develop and progress.
We offer 3 different types of roles for which your core duties might include:
Data scientist
Identify opportunities to apply the Machine Learning & statistical tools to build, test, and validate interpretative & predictive models
Research, create & deploy your state-of-the-art solutions from multiparametric structured & unstructured data sets to impact our vaccines business
Connect and collaborate with subject matter experts in biology, chemistry, medicine and commercial activities
Communicate technical subject matter clearly and concisely to audiences of various backgrounds
Tech stack: Python, Azure, GIT, Scikit-learn, etc.
AI/ML Engineer
Assist in AI/ML as a product including model development, evaluation, and deployment to support decision making in a self-service mode
Investigate & implement state-of-the-art MLOps & DataOps techniques for CI/CD on Edge/Cloud solutions
Develop Autonomous AI systems based on Industrial AI agents & Digital Twins
Produce robust & clean code ready for production use and ability to develop generic API
Develop some front-end interfaces to foster business interaction with models and its monitoring
Propose and implement architectured solutions that are scalable enough for increasing our efficiencies
Tech stack: Python, Pytorch, Dash, AzureML, GIT, LangChain, LLM, etc.
GenAI Engineer
Assist in GenAI Agents development, evaluation, and deployment to support decision making in a self-service mode
Develop Advanced RAG solution to leverage value generation with GenAI, including GraphRAG and knowledge graphs
Investigate & implement state-of-the-art AgentOps & LLMOps techniques, including DevOps on the Cloud
Produce robust & clean code ready for production use and wrap the Agents in generic API for reusable purpose
Develop front-end interfaces to foster business interaction with Agents and human evaluation (RLHF)
Fine tune LLM models and validate accuracy and improvement over prompting techniques
Tech stack: Python, Autogen, LangChain, OpenAI, Azure, Github, HuggingFace, Databricks, FastAPI, etc.
Topics:
Time Series modeling
Inventory understanding & optimization (Operation Research)
Computer Vision MLOPs
AI software engineering
Bio-process optimization
GenAI in Pharma
Synthetic Data Generation & foundation models
RAG
Graphs
Fields:
Supply chain management
Manufacturing
Quality
Global Engineering
Digital Twin platform
GenAI platform
What are we looking for?
Readiness to strengthen scientific knowledge in pharma and technical skills in artificial intelligence & data analytics
Motivation to be part of the solution for worldwide vaccines-related health issues
Capability to deliver projects & products in an agile way of working
Eagerness to discover an international and science-led environment
Adaptability to change and working under pressure
Excellent communication skills that help you influence
Strong problem-solving skills driven by curiosity
Drive and confidence to trust your own judgment