As part of Work Package 5 (Data Platform Development and Open-Access PBPK/PD Explorer) of RECOMBINE-X, you will build the technical foundation that connects the project's physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) data to our existing cloud-native genomics infrastructure, and enable both fixed dashboarding and flexible, interactive analysis for the consortium and the wider research community. You will work in close collaboration with the RECOMBINE-X consortium – including the R2 platform team at Amsterdam UMC and Medstone Science – as well as with bioinformaticians and IT staff within the Big Data Core.

Specific tasks include:

• Integrate the RECOMBINE-X pharmacokinetic and pharmacodynamic (PBPK/PD) data into Google BigQuery, a cloud-native data warehouse, which already hosts a large part of the genomic data of the Máxima biobank, as the starting point for downstream access and analysis.
• Contribute to the technical development of the RECOMBINE-X PBPK/PD Explorer (WP5), from internal data management infrastructure to the public, open-access platform, in collaboration with the R2 platform at Amsterdam UMC, Medstone Science, and Dr. Jan Koster.
• Develop and maintain both fixed dashboarding and dynamic, interactive analysis interfaces, connecting with tools such as cBioPortal (dashboarding) and Gen3/NL-4C (requests and access to primary data).
• Build interactive analysis environments, eg R Shiny applications or Jupyter notebooks, that allow researchers to develop and run their own analyzes on the platform.
• Explore the use of Google Vertex AI for machine learning models on top of the integrated dataset.
• Manage and support access to our Google Cloud environment, enabling researchers to develop and run their own analysis pipelines with maximum flexibility.
• Help define the hosting and compute requirements for RECOMBINE-X analyses, from routine workloads to more computationally intensive analyses.
• Contribute to the general IT architecture and security setup of the platform, including preparation for a security audit.
• Help build insight into the operational and hosting costs of the platform over the course of the project, to inform its long-term sustainability.

Profile

• We expect a highly motivated, pro-active candidate with a bachelor's or master's degree in computer science, data engineering, or a related field, with experience or a proven interest in cloud and data engineering. Experience in the field of genomics/bioinformatics and (bio)medical data is desirable. Excellent technical skills and hands-on experience with cloud platforms, in particular Google Cloud Platform (BigQuery, and ideally Vertex AI), is required, and knowledge of Python, R, Linux and SQL is highly preferred. A good understanding of data warehouse and pipeline design, and affinity with building dashboards and interactive analysis tools (eg R Shiny, Jupyter notebooks) is a plus. The candidate should have good communication skills in Dutch and/or English and be a flexible team player in a dynamic, diverse and international research environment.