Privacy Data Scientist: Health Data Risk

Datavant2; Barcelona; Híbrido; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 vacation days

Lunch stipend

Hybrid work: 2 days/week in Gracia

Professional development

Innovation day

DEI groups

Private health coverage

Flexible remuneration via Cobee

Recognition programs

Education lunch & learns

Descripción de la vacante

Datavant is seeking a meticulous Data Scientist (Privacy) to join the Privacy Science team in Barcelona. You will analyze large health datasets, assess re-identification risk, and contribute to privacy research while communicating findings to stakeholders.

The role emphasizes rigorous statistical methods, Python programming, and real-world data challenges, with a hybrid office model in Gracia.

Formación

• Must hold MSc or PhD in a relevant field and work with health data.
• Strong grasp of statistical concepts and experimental design.
• Experience with privacy-preserving data analysis and reporting.

Responsabilidades

• Critically analyze large health datasets using standard and bespoke software libraries.
• Discuss findings with internal and external stakeholders and produce reports.
• Contribute to research on re-identification risk and privacy techniques.
• Advance data analysis skills and contribute to solution development.

Conocimientos

Python

Statistical analysis

Data privacy

Communication skills

Time management

Scientific method

Independent research

Educación

MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar

Herramientas

AWS

SQL

LaTeX

Descripción del empleo

Datavant is seeking a meticulous Data Scientist (Privacy) to join the Privacy Science team in Barcelona. You will analyze large health datasets, assess re-identification risk, and contribute to privacy research while communicating findings to stakeholders.

The role emphasizes rigorous statistical methods, Python programming, and real-world data challenges, with a hybrid office model in Gracia.