Real World Data Analytics Engineer - Scalable ETL

Roche; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Roche is seeking an experienced Real World Data Analytics Engineer to join a medical informatics team in Madrid. You will translate analytics needs into scalable data pipelines, mapping data to OMOP/FHIR models and ensuring data quality throughout the process.

You will work with data scientists, engineers, and clinical terminologists to produce analysis-ready datasets, applying tests and ensuring semantic consistency across use cases. Strong English communication is required.

Formación

• Bachelor’s or Master’s degree in computer science, data science, informatics.
• Hands-on experience with healthcare data.
• In at least one of oncology, neuro, immunology, infectious diseases, ophthalmology, cardiovascular and metabolism.
• Hands-on experience with real world data, specifically OMOP.
• Experience with terminology integration, including OHDSI Athena and UMLS.
• Experience with LLMs or NLP frameworks for extracting structured data from unstructured clinical text to feed into OMOP/FHIR models.
• Familiarity with context-aware AI tools and prompt engineering for data discovery or code generation tasks.
• Experience with AI-augmented data quality tools or ML-based anomaly detection for monitoring data pipelines.

Responsabilidades

• Syntactically and semantically map data to/from RWD common data models (e.g., OMOP, FHIR) using dbt or similar tools.
• Design, develop, and test ETL/ELT pipelines for real world data.
• Provide complete documentation and communication of all processes, methods, and results.
• Integrate vocabularies/terminologies using REST APIs and/or via relational tables.
• Co-create scalable approaches for mapping data using declarative and functional programming approaches.
• Understand RWD use cases from business and IT perspectives and balance short-term benefits with long-term costs.
• Contribute and share learnings within RWD communities, especially product teams.
• Translate clinical objectives into actionable, high-quality data product requirements.
• Partner with IT leadership to influence product roadmaps.
• Advocate for medical informatics and terminology management with stakeholders.

Conocimientos

SQL

Python

ETL/ELT

dbt

OMOP

FHIR

Healthcare data

CI/CD

Git

Snowflake

Neo4j

GraphQL

NLP

UMLS

Educación

Bachelor’s degree

Master’s degree

Herramientas

Snowflake

Neo4j

GraphQL

OHDSI Athena

UMLS

Descripción del empleo

Roche is seeking an experienced Real World Data Analytics Engineer to join a medical informatics team in Madrid. You will translate analytics needs into scalable data pipelines, mapping data to OMOP/FHIR models and ensuring data quality throughout the process.

You will work with data scientists, engineers, and clinical terminologists to produce analysis-ready datasets, applying tests and ensuring semantic consistency across use cases. Strong English communication is required.