Company Description

IOMED operates a Data Space Platform powered by AI designed to activate healthcare data for secondary use while ensuring compliance with data protection. Utilizing Natural Language Processing, the platform processes both structured and unstructured clinical data, enabling transformation into an interoperable OMOP Common Data Model without data leaving a hospital’s in-house systems, thanks to its Federated Data Model. IOMED’s innovative approach bridges the gap between raw clinical data and standardized formats for meaningful analysis in Data Spaces. With a focus on data security, IOMED's mission is to be a trusted ally for healthcare organizations, fostering the future of data-driven healthcare.

Role Description

The core of your role will be to provide analytical insights about the data we work with. To this aim, you will design and develop ways of analyzing and visualizing relevant aspects of our datasets, with the final objective of ensuring their quality.

As a Quality Analyst, you will be working in a very dynamic environment, which means that you must have a strong problem-solving ability, organization skills, and be proactive. We are looking for sharp analytical minds, who are able to develop innovative solutions to reason about different types of data. In technical terms, you should be able to implement these solutions in code entirely, from database queries to visualizations.

Main Responsibilities

• Validate and verify datasets across different stages of the data lifecycle to ensure consistency and reliability.
• Identify anomalies, unexpected patterns, and inconsistencies in structured and unstructured data.
• Design, execute, and maintain data validation checks and quality controls.
• Investigate data issues such as missing values, abnormal distributions, inconsistencies between sources, or unexpected pipeline outputs.
• Create, document, and manage data quality incidents, ensuring proper tracking and follow-up until resolution.
• Perform root cause analysis in collaboration with Data Engineers, Data Scientists, and clinical teams.
• Monitor recurring quality problems and propose preventive improvements.
• Document validation procedures, findings, and quality standards.

Knowledge & Skills

• Degree in Data Science, Computer Science, Statistics, Health Informatics, or a related field.
• Strong SQL skills and confidence working with large datasets.
• Ability to explore data and detect inconsistencies through analytical reasoning.
• Understanding of data pipelines and ETL processes.
• Good knowledge of statistics.
• Proficiency on the use of testing and expectation frameworks.
• Knowledge of data visualization methods and tools.
• Python for exploratory analysis or validation scripting is a plus.
• Experience with healthcare or clinical datasets is a strong plus.
• Professional proficiency in English.

Soft Skills

• In terms of personality, we are looking for someone who enjoys working in a wide range of areas and adapts quickly to new situations.
• Excellent communication skills and the ability to work in a team.
• To be comfortable with changes and able to adapt quickly to new tools and methodologies.
• The ability to identify issues, analyze them, and find creative solutions is critical.
• Efficiently managing time and prioritizing tasks.

What can we offer?

• Competitive salary.
• Permanent contract.
• Flexible remuneration with restaurant tickets, transport tickets, nursery, training, and medical insurance.
• Flexible schedule and hybrid working model.
• 28 days of vacations per year.
• A warm, transparent and supportive team, with a huge emphasis on work-life balance. 
• The opportunity to make your mark in e-health and AI.