Data Architect Clinical Trial Systems (all genders) part-/full-time

at  Merck Group

Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.

We are seeking a highly skilled and experienced Data Architect for Clinical Trial Systems. This role requires a strong background in both clinical operations and data architecture & standards, as well as a deep understanding of the environment within the healthcare industry.
In the role of the Data Architect for Clinical Trial Systems you will lead the design and implementation of data solutions that support our clinical trial processes, ensuring data integrity, security, and compliance with regulatory standards.
We aim to establish new internal clinical trial systems (EDC, CTMS, SSU, and eTMF) to reduce fragmentation of operational activities, increase transparency & real-time access to data, and to leverage the benefits of GenAI/AI technologies. Establishing data standards, data flows and integrations is key for the success of this initiative.
You will operationalize our data strategy into established end-2-end data flows and streamline integration architecture & technical standards for this space. This will include defining efficient data flows between the involved transactional systems as well as to a central data repository. In addition, you will define an efficient setup for the exchange of master & reference data. Your work will include strong collaboration with the data governance function, business process owners, and the program organization for system setup and configuration.