Internship: GenAI/AI/ML Engineers & Data Scientists/Analysts (Master, PhD, Post-Doc), Belgium – 2025

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.

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.

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:

• 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.
   

• 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.

• 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

• 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

You’ll find hints, tips and guidance on our recruitment process on our website.
Learn more about the application process gsk.to/ECprocess.

You can learn more about GSK and our careers here https://www.gsk.com/en-gb/careers/ 

Need help with your application?
Please email us at [email protected] and let us know how we can help you.

#Li-GSK

#InternshipBE

If you have a disability and require assistance during the course of the selection process, you will have the opportunity to let us know what specific assistance you require in order to make suitable arrangements.

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.

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