Data Engineer
1 week ago
We are seeking a highly skilled Data Engineer to join our team at F. Hoffmann-La Roche Gruppe. As a Data Engineer, you will play a critical role in harmonizing source data models to/from common data models such as OMOP or FHIR.
Key Responsibilities:
- Design, develop, and test ETL/ELT pipelines for real-world data
- Map data to/from RWD common data models using dbt or similar tools
- Provide complete documentation and communication of all processes, methods, and results
- Integrate vocabularies/terminologies using REST APIs and/or via relational tables
- Collaborate with clinical terminologists, medical informatics architects, data engineers, and data scientists to produce data sets ready for analysis or model building
- Develop scalable approaches for mapping data using declarative and functional programming approaches
Requirements:
- 5+ years of relevant experience and a Bachelor's or Master's degree in computer science, data science, informatics
- Hands-on experience with healthcare data in at least one of the following disease areas: 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
- Python (numpy, pandas, etc.), SQL, CI/CD, git
- Experience with relational databases and cloud platforms such as Snowflake
About Us
F. Hoffmann-La Roche Gruppe is a leading research-focused healthcare group with over 100,000 employees across 100 countries. We are committed to pushing back the frontiers of healthcare and improving the lives of patients worldwide.
We offer a dynamic and collaborative work environment, with opportunities for professional growth and development. If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.
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