Description
The role focuses on designing and engineering next-generation digital workflow systems to connect and automate sample logistics and decision-making processes in a pharmaceutical research environment.
Tasks
- Design and engineer a next-generation business workflow engine for automated processes
- Develop solutions to lower technical barriers for sample, data and information transfer
- Support compliance workflows in sample and data management and compound QC processes
- Partner with automation engineers and lab staff to build dashboards and track KPIs
- Build and maintain tools with AI coding assistants and establish review and testing practices
- Design and implement agentic AI workflows for multi-step operational tasks
Profile
- University degree in computer science, cheminformatics, life science or related computational field, or equivalent experience
- Experience in laboratory automation and research informatics
- Experience in business analysis, process mapping or operations engineering in pharma or biotech research
- Familiarity with laboratory information flows, sample management logistics and automated compound QC workflows
- Hands-on experience with software solutions including Python, SQL, relational databases and version control
- Hands-on experience with agentic AI tools used for real multi-step tasks
- Good presentation and communication skills in English
Company
Pharmaceutical research