Medical Data Coordination Intern

UEFA; Nyon; Hybrid; CHF 17,000 - 23,000; Full time

Job summary

UEFA in Nyon is offering a maximum-term internship in the Data Coordination team within Finance, Financial Sustainability & Research / Data & Innovation. The role focuses on coordinating data activities for UEFA's future medical platform, connecting medical, business and technical stakeholders.

This internship is designed for recent graduates with interest in data coordination, digital platforms and healthcare or sports medicine, offering hands-on exposure to a strategic UEFA initiative with

Qualifications

• Education completed no more than one year before start date.

Responsibilities

• Coordinating data-related activities for the future UEFA medical platform across medical, business and technical teams
• Collecting, structuring and documenting data requirements, definitions, workflows and priorities with stakeholders
• Defining and maintaining data models, business rules, data dictionaries and reference documentation
• Coordinating data mapping, migration, integration and validation activities and tracking dependencies and timelines
• Monitoring data quality and facilitating issue resolution
• Supporting data governance, access, privacy and confidentiality for sensitive information
• Preparing clear status updates and coordination documentation for stakeholders

Skills

Organisational skills

Coordination skills

Stakeholder communication

English proficiency

Education

Bachelor/Master/PhD in information systems or related field

Tools

Data governance tools

Data modelling

Job description

Job information
Division/Unit: Finance, Financial Sustainability & Research / Data & Innovation
Contract type: Maximum-term
Location: Nyon (WFH up to one day per week)
Start date: 16/11/2026
End date: 16/05/2027

Main goal

The Medical Data Coordination Intern will support the coordination of data-related activities for UEFA’s future medical platform, helping to connect medical, business and technical stakeholders and ensuring that data requirements are clearly defined, documented and followed through during the platform’s development.

The internship is designed for a recent graduate interested in data coordination, digital platforms and healthcare or sports medicine. It offers hands‑on exposure to a strategic UEFA initiative, with a focus on data quality, governance, integration and effective collaboration across functional teams.

Key responsibilities

• Coordinating data-related activities for the future UEFA medical platform across medical, business and technical teams
• Collecting, structuring and documenting data requirements, definitions, workflows and priorities with relevant stakeholders
• Helping to define and maintain data models, business rules, data dictionaries and reference documentation
• Coordinating data mapping, migration, integration and validation activities, following up on dependencies, actions and timelines
• Helping to monitor data quality, completeness and consistency and facilitating the resolution of identified issues
• Supporting appropriate data governance, access, privacy and confidentiality practices for sensitive medical information
• Preparing clear status updates, meeting materials and coordination documentation for project stakeholders

Requirements

Education:

• Bachelor's, master's or PhD in information systems, data management, health informatics, biomedical sciences, business, engineering or a related field, completed no more than one year before the internship start date

Languages:

• English / Proficient
• Knowledge of French would be a strong asset

Other requirements:

• Relocation to Switzerland/France is expected
• Strong organisational and coordination skills, with the ability to follow several workstreams and dependencies
• Good understanding of data concepts, including data quality, data models, integrations and governance
• Ability to translate stakeholder needs into clear data requirements and structured documentation
• Clear communication skills and confidence working with medical, business and technical stakeholders
• Familiarity with AI and data tools, visualisations, databases, APIs or cloud data platforms is an asset
• Interest in sports medicine, digital health or medical information systems would be a strong asset
• High level of discretion and awareness of the sensitivity of medical and personal data