Data Engineer for Clinical Insights
hace 2 días
Bayer is a leader in healthcare and agriculture, driven to solve the world's toughest challenges. We're seeking a skilled Data Engineer for Clinical Insights to join our team.
About the RoleThe successful candidate will be responsible for designing, developing, and maintaining data processing for clinical insights, review, and analytics. This role involves working with data models, integrating clinical data across studies, and implementing data pipelines and ETL processes.
Key Responsibilities- Design, develop, and maintain data processing for clinical / medical insights, review, and analytics.
- Responsible for domains of the data model and integration of clinical data within a clinical study as well as operational data from various sources and implementation of data pipelines and ETL processes.
- Collaborate with other data engineers and support in defining and aligning concepts, standards, and best practices for the work on the study portfolio.
The ideal candidate will have a strong understanding of data engineering design and ETL activities, experience with clinical development processes, clinical data domain, clinical data standards, and terminology. Proficiency in programming languages such as R, Python, Spark/PySpark, and experience with visualization tools like PowerBI is essential.
Qualification and Competencies- Master's or Bachelor's degree in computer science, statistics, mathematics, natural sciences, or a related field.
- At least 3 years of experience as a data engineer or data warehouse expert optimally with experience in the pharmaceutical, biotech, or similar industry.
We offer a competitive salary of approximately €60,000 - €80,000 per year, depending on location and experience. Our benefits package includes health insurance, retirement plan, and paid time off. If you're passionate about data engineering and want to make a difference in the healthcare industry, we encourage you to apply.
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