Clincial Data Engineer DMOI The Clinical Data Engineer

for all individual studies. Task - 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 datapipelines and ETL processes. Collaborate with other data engineers and support in defi ning and aligning concepts, standards and best practices for the work on the studyportfolio. - 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 developing solutions to meet the immediate and long-term needs of businesscustomers. - Design and manage the expansions and redesigns of data processing and data integration triggered by changes or optimizations to business processes or system landscapes. - Ensuring connection and

communication with the involved parties and teams upstream of the data fl ow within a clinical study. - Work in teams with other programmers in solving technical problems in programming, best practices and standards implementation. - Design dashboards and workfl ows for data management insights, medical review and implement automated solutions. - Support innovation in cross-functional projects and initiatives for data-driven and effi cient business processes in the context of Clinical Development & Operations. Qualifi cation and Competencies - Master’s or Bachelor’s degree in computer science, statistics, mathematics, natural sciences or a related fi eld with at least 3 years of experience as a data engineer or datawarehouse expert optimally with experience in the pharmaceutical, biotech or similar industry. Focus on data engineering design and ETL (Extract, Transform, Load) activitiesand visualization of thos. - Preferribly experience in clinical development processes, clinical data domain, clinical data standards and terminology. - Good to have experience working with clinical data sources EDC, ECOA, Central Lab, transformation into pre-SDTM and SDTM clinical data models as well as operational datafrom EDC and other sources. - Fundamental experience with ETL concepts and tools such as Azure ADF and/or experience in R, Python, Spark / PySpark, preferably for creating data models in the clinicalarea Experience with visualization of data preferribly with PowerBI. - Good understanding of the software life cycle (ITIL), optimally the GxP validation approach. - Basic understanding of agile methodologies such as scrum. - Strong interpersonal skills, excellent written and oral communication. - Ability to work eff ectively both independently and in cross-functional teams. - Fluent in spoken and written English. YOUR APPLICATION This is your opportunity to tackle the world’s biggest challenges with us

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Clincial Data Engineer DMOI The Clinical Data Engineer is responsible for the design, development and maintenance of data monitoring and operational insights data processing. The role focuses on data modeling and integration of clinical data across studies, as well as operational data and implementation of data pipelines and ETL processes. Teamwork is being conducted with data engineers of other teams and processed