Experteer Overview
As a Data Scientist (Privacy) you will assess re-identification risk in health data and contribute to privacy research within the Privacy Science team. You will work with large health datasets, applying statistical and data-analysis methods to inform stakeholders and safeguard patient privacy. The role combines hands-on data work with research to keep us at the forefront of privacy in data sharing. You will collaborate across teams to translate findings into robust reports and practical privacy solutions. This is a mission-driven opportunity to shape how healthcare data is securely used at scale.

Compensaciones / Ventajas
• Analyse large health datasets using standard and bespoke libraries.
• Communicate findings and progress with internal and external stakeholders.
• Produce high-quality reports summarising results.
• Contribute to research on re-identification risk and privacy methods.

Responsabilidades
• MSc or PhD in Statistics, Mathematics, Physics,



Chemistry or similar
• Proficiency with Python
• Solid understanding of distributions, bias, error, power, sampling and resampling
• Ability to apply scientific methods to practical problems with experimental design and hypothesis testing
• Strong time management and prioritisation skills
• Excellent communication and meticulous report presentation
• Independent initiative to explore new topics and expand privacy knowledge
• Awareness of data privacy, security and related legislation
• Familiarity with AWS cloud storage and computing

Requisitos principales
• 25 vacation days
• daily in-office lunch stipend
• hybrid work model
• professional development opportunities
• private health coverage w/ out-of-network reimbursements
• flexible remuneration with Cobee

📌 Data Scientist (Privacy) (Barcelona)
🏢 Datavant
📍 Barcelona