The Dutch Wetenschapsagenda project Virtual Human Platform for Safety (VHP4Safety) has a vision to use innovative approaches to determine the safety of chemicals and pharmaceuticals based on human data instead of data from laboratory animals. Within this project, one research line will focus on integrating and analysing high quality data of human biology. Central to this will be systems biology combined with Adverse Outcome Pathways (AOPs) to define and model the underlying mechanisms. This includes quantitative AOPs (qAOPs) to capture the toxicodynamics and distributions of toxicants within the human body, and relate this to data from new model systems. The ultimate outcome is modelled estimates of compound safety.
Within this research line, this position focuses on the ICT infrastructure and will translate experiences with Docker and OpenShift/Kubernetes ideas from the past project OpenRiskNet to this project. Throughout the project FAIR research output is essential for interoperability, which does not only apply to data, but to the application programming interfaces (OpenAPI) too, and knowledge bases such as those developed in the BiGCaT research group (WikiPathways, AOP-Wiki RDF). Around this core you will (co-)develop analysis workflows, e.g. with Jupyter or RMarkdown, to integrate data and knowledge with services and computational resources. A considerable task will be to make services from other work packages available via this platform. Collaboration within the other research projects and with efforts like ELIXIR are a key aspect of this position.
Full description and apply via this link.
