Trainee; Leveraging Administration Automation, AI and Digitisation

Select how often (in days) to receive an alert:

Selection procedure reference
: EMA/TR/11582

Final date to receive applications
: 30 September 2026 23:59 CEST

The European Medicines Agency (EMA) is a decentralised agency of the European Union (EU), located in Amsterdam. It began operating in 1995. It is responsible for the scientific evaluation, supervision and safety monitoring of medicines in the EU.

This traineeship opportunity is now open for applications
until 30 September 2026 23:59 CEST
, with an intake on 1 March 2027.

The Agency is looking for motivated, qualified recent graduates or students on an Erasmus+ or other programme or PhD students or Master's students, who are interested in gaining experience and contribute to the Agency’s work for every patient in Europe
. The purpose of a traineeship at the Agency is to perform tasks that are predominantly in the interest of the trainee’s training and principally serve to increase the trainee’s knowledge and to gain relevant experience.

We are looking for a trainee in the Leveraging Administration for Automation, AI and Digitisation Office.

The traineeship position is part of the A‑Division’s digitalisation working group, LEAAAD (Leveraging Administration for Automation, AI and Digitisation).

The trainee will directly contribute to the development and implementation of an identified AI‑driven solution (TBC) aimed at simplifying and optimising administrative workflows within the EMA’s Administration Division as per digitlisation roadmap. This role offers hands‑on experience in project delivery and exposure to practical applications of AI in a regulatory environment.

Key responsibilities include:

• Contributing to the planning and coordination of the selected AI project, including design, testing, and rollout activities.
• Gathering and analysing business requirements to align the AI solution with operational needs and process improvement goals.
• Collaborating with LEAAAD members and divisional teams to ensure effective integration and adoption of the AI tool.
• Participating in data preparation, model evaluation, and performance monitoring tasks to ensure quality and accuracy.
• Documenting outcomes, lessons learned, and recommendations for future AI or automation initiatives within the division.

The trainee will benefit from the following learning outcomes:

• Understand how AI and automation can be applied to streamline administrative processes in an EU agency.
• Translate business needs into concrete AI solution requirements (user stories, use cases, basic acceptance criteria).
• Gain hands‑on experience in the lifecycle of an AI project: problem definition, experimentation, testing, implementation, and iteration.
• Learn to collaborate effectively with multidisciplinary stakeholders in a project setting.
• Develop practical skills in using AI tools or platforms relevant to the chosen initiative (e.g. bots, LLM‑based assistants, workflow automation tools).
• Build competencies in documenting AI project decisions, assumptions, limitations, and lessons learned for future reuse and governance.
• Strengthen communication skills by presenting AI project progress, outcomes, and benefits to non-technical audiences.

To be eligible for consideration for this placement, you are required to:

• enjoy full rights as a citizen of a European Union Member State or Iceland, Lichtenstein and Norway;
• possess a relevant u niversity degree (minimum of three years or more) that must have been obtained between 30 September 2025 and 30 September 2026
  or
  be a university student on an Erasmus + or a similar programme
  or a PhD student or a Master's student with a previous fully finished degree

For criteria 1 and 2, you will be required to provide proof in the application form and at the interview stage. Failing to present these documents may result inthe
disqualification from the procedure
.

In addition to the eligibility criteria, you will have:

• Knowledge of Python: data cleaning (Pandas, Num Py), data visualization (Plotly) and data…