Description

You will design data pipelines and agentic AI workflows that connect laboratory instruments to FAIR-compliant data systems in a pharmaceutical research environment.

Tasks

• Lead rollout and training for assay development and screening LIMS with traceable data trails
• Design and integrate agentic AI tools and Design of Experiments frameworks
• Build pipelines connecting raw instrument outputs to databases for FAIR data standards
• Coordinate user onboarding and train bench scientists on platform adoption
• Accelerate assay design and execution times and reduce processing error rates

Profile

• PhD or MS in Computational Biology, Scientific Informatics, Bioinformatics or related quantitative discipline
• Experience with cellular, biochemical or biophysical systems
• Familiarity with FAIR data management standards
• Experience with laboratory informatics environments such as LIMS or electronic lab notebooks
• Strong programming proficiency including database building and ML/LLM API integration
• Collaborative communicator able to train cross-functional users

Company

Pharmaceutical research