(Senior) Clinical Data Engineer

Position Overview

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.

This position can be filled either as Clinical Data Engineer or Senior Clinical Data Engineer.

The role has a hybrid setup with approximately 1‑2 days per week on site and is part‑time eligible at 80%.

Tasks & Responsibilities

• 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.
• Support data collection, curation, review and delivery for clinical trial data.
• Apply established data standards and processes as well as support end‑to‑end data flows from internal and external sources.
• Translate scientific and operational requirements into technical data specifications and prepare data fit for analysis and reporting, ensuring data quality through defined controls.
• Collaborate with experts across Clinical Development (e.g., Clinical Data Science, Biostatistics, Clinical Operations) and continuously build clinical and technical knowledge to contribute to a culture of continuous improvement.

Additional tasks for the Senior role

• Take ownership of complex or critical clinical data setups across studies.
• Design, implement and continuously improve scalable and robust end‑to‑end data flows, integrations, and pipelines across clinical data systems such as EDC, external vendor data, and downstream environments.
• 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.
• Drive automation, standardization, and reuse of technical solutions across studies to increase efficiency and sustainability.
• 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.
• 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 and experience in a lead role.
• Strong technical background 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.

Equal Opportunity Statement

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.