Data Engineering Specialist for Clinical Insights
hace 4 días
At Bayer, we're driving innovation to address the world's most pressing challenges. We strive for a future where healthcare is accessible to all and hunger is eradicated. Our team is passionate about harnessing energy, curiosity, and dedication to make this vision a reality. Clinical Data Engineer
The Clinical Data Engineer plays a pivotal role in designing, developing, and maintaining data monitoring and operational insights data processing. This position focuses on data modeling and integration of clinical data across studies, as well as operational data, and implementing data pipelines and ETL processes. Collaboration with data engineers from other teams ensures seamless execution for individual studies.
- 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.
- Investigate, understand, transform, integrate, and deliver clinical and operational data to generate insights at scale.
- Understand the business context and the requirements in collaboration with stakeholders and develop solutions to meet the immediate and long-term needs of business customers.
- Design and manage the expansions and redesigns of data processing and data integration triggered by changes or optimizations to business processes or system landscapes.
- Ensure connection and communication with the involved parties and teams upstream of the data flow within a clinical study.
- Work in teams with other programmers in solving technical problems in programming, best practices, and standards implementation.
- Design dashboards and workflows for data management insights, medical review, and implement automated solutions.
- Support innovation in cross-functional projects and initiatives for data-driven and efficient business processes in the context of Clinical Development & Operations.
Qualification and Competencies:
We are seeking a highly skilled professional with a 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 is required, preferably with experience in the pharmaceutical, biotech, or similar industry. Focus on data engineering design and ETL (Extract, Transform, Load) activities and visualization thereof is essential.
A good understanding of software life cycle (ITIL), preferably the GxP validation approach, is desirable. Basic knowledge of agile methodologies such as Scrum is also beneficial. Strong interpersonal skills, excellent written and oral communication, and the ability to work effectively both independently and in cross-functional teams are mandatory.
Salary: €80,000 - €110,000 per annum, depending on experience.
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