The Position Enable reliable and scalable clinical data u2013 as a (Senior) Clinical Data Engineer in Experimental Medicine Experimental Medicine (ExpMed) is a global organization within the Innovation Unit (IU), driving early clinical development from candidate selection through Firstu2011inu2011Human to Proof of Clinical Concept (PoC). High-quality, standardized, and scalable clinical data are the foundation for fast, reliable, and transparent decision-making. As a (Senior) Clinical Data Engineer, you will play a pivotal role in unlocking the full value of clinical trial data. You will ensure data from internal and external sources are collected, curated, and delivered in a structured, standardized, and fit-for-purpose way. Working closely with scientific and operational teams, you will translate complex requirements into robust technical data specifications and enable downstream analysis and reporting. Ready to make an impact at the forefront of clinical development? Apply now and shape the future of clinical data with us. Discover our Biberach site: xplorebiberach.com (https://careers.boehringer-ingelheim.com/biberach/) This position can be filled either as Clinical Data Engineer or Senior Clinical Data Engineer. This position has a hybrid setup with approximately 1-2 days per week on site. This position is part time eligible with 80%. Tasks & responsibilities In your new role, you will support clinical studies and datau2011driven projects by enabling highu2011quality clinical trial data across the study lifecycle, as part of a globally integrated team operating across therapeutic areas. Furthermore, you will support data collection, curation, review and delivery for clinical trial data. You will apply established data standards and processes as well as support endu2011tou2011end data flows from internal and external sources. Moreover, you will help translate scientific and operational requirements into technical data specifications and prepare data fit for analysis and reporting, ensuring data quality through defined controls. You will collaborate with experts across Clinical Development (e.g. Clinical Data Science, Biostatistics, Clinical Operations) and continuously build clinical and technical knowledge and contribute to a culture of continuous improvement. Additional tasks for the Senior role As Senior Clinical Data Engineer, you will take ownership of complex or critical clinical data setups across studies. Designing, implementing and continuously improving scalable and robust endu2011tou2011end data flows, integrations, and pipelines across clinical data systems such as EDC, external vendor data, and downstream environments, will also be part of your responsibilities. Moreover, you will ensure data are fit for analysis and reporting by owning endu2011tou2011end data engineering activities and proactively managing data quality, consistency, and technical risks. You will drive automation, standardization, and reuse of technical solutions across studies to increase efficiency and sustainability. In addition, you will act as a key expert and contact partner in crossu2011functional teams and with external partners, contributing to knowledge sharing and best practices within the Clinical Data Engineering community. Requirements Masteru2019s or bacheloru2019s degree (e.g. MBA, MSc) in Data Science, Computer Science, Life Sciences, Software/Computer Engineering or a related field with several years of relevant experience in data handling, data processing tools, databases or analytical environments Technical background (e.g. medical informatics, computer science, programming or data engineering) and a strong interest in clinical data and clinical development are desired Foundational understanding of external data acquisition and data standards (e.g. CDISC/SDTM) as well as understanding of data quality principles and familiarity with data quality frameworks Strong analytical and problemu2011solving mindset with a pragmatic approach Team player with excellent communication skills and the ability to collaborate effectively in interdisciplinary, global and remote teams Fluency in written and spoken English, German is a plus Additional requirements for the Senior role Several years of experience in clinical data engineering, technical data management or a comparable role as well as proven experience in driving automation, standardization or continuous process improvements, experience in a lead role (e.g. in matrix teams) is preferred Strong technical background (e.g. medical informatics, computer science, programming or data engineering) with advanced experience in clinical data and clinical development, including deep expertise in EDC systems, external data acquisition, data standards (e.g. CDISC/SDTM), data quality frameworks, and endu2011tou2011end ownership of clinical trial data flows and dependencies across systems and processes Strong stakeholder interaction skills and the ability to collaborate effectively in crossu2011functional and timeu2011critical environments Demonstrated decisionu2011making skills, including the ability to combine pragmatism with a high level of quality and reliability Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process. Ready to contact us? If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: 49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com Recruitment process: Step 1: Online application - The job posting is presumably online until May 14 th, 2026. We reserve the right to take the posting offline beforehand. Applications up to May 7th, 2026, are guaranteed to be considered. Step 2: Virtual meeting in the period from beginning till mid of June 2026 Step 3: On-site interviews end of Juni 2026 Please include the following documents when applying for this position: Cover Letter & CV Please submit your application documents in English. All qualified applicants will receive consideration for employment without regard to a personu2019s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.