The posting
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
Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/scientist-assay-data-ai-workflows-tah-x7fxq/



