(Senior) Clinical Data Engineer

The Position

Enable reliable and scalable clinical data – 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 First‑in‑Human 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

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 data‑driven projects by enabling high‑quality 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 end‑to‑end 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 end‑to‑end 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 end‑to‑end 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 cross‑functional teams and with external partners, contributing to knowledge sharing and best practices within the Clinical Data Engineering community.

Requirements

• Master’s or bachelor’s 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 problem‑solving 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 end‑to‑end ownership of clinical trial data flows and dependencies across systems and processes
• Strong stakeholder interaction skills and the ability to collaborate effectively in cross‑functional and time‑critical environments
• Demonstrated decision‑making 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 14th, 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.