- Basel, Basel-City, Switzerland
- On-site
- Full-time · Staff
Join the Compound Library Enhancement and Logistics (CLEL) team to build next-generation workflow engines that track, plan, and securely connect decisions across the automated IT infrastructure, modernizing legacy systems for scalable automation and AI in drug discovery.
Responsibilities
- Scope, design and engineer an interconnected next-generation business workflow engine capable of mapping, tracking, and capturing decisions and data across automated business processes.
- Develop solutions to lower technical barriers for sample, data and information transfer, as well as decision-making at the interface of internal or external stakeholder-facing systems.
- Support compliance workflows in sample and data management (i.e. sample decisions, documentation), as well as overhaul automated compound QC workflows towards AI-assisted data analysis pipelines.
- Partner with automation engineers and laboratory staff to generate business dashboards and track key performance indicators (KPIs) and interface effectiveness to key stakeholders.
- Shape and drive ongoing transition to AI-based software development: build and maintain tools together with AI coding assistants, and establish practices for AI-generated solutions.
Requirements
- University degree
- M.S. or B.S. in computer science, cheminformatics, a life science or another scientific discipline with a strong computational focus
- Equivalent practical experience and expertise in laboratory automation and research informatics