About this role
Build the platform and agent layer that connects scientific data, internal models, and experimental decision-making to make AI/ML usable by scientists. Responsibilities include creating internal AI agents, integrating synthesis/assay/ELN/LIMS and computational data into model-ready layers, orchestrating lab-in-the-loop workflows, and building APIs and data services exposing ML capabilities.
Skills for this role
PythonProduction-quality scientific softwareData pipelinesAPIsInternal workflow toolsAI agentsLLM-enabled toolsWorkflow orchestrationModel servingData integrationELN/LIMS integrationDatabase integrationInstrument data integrationCloud data storesBiological dataChemical dataAssay dataLab-in-the-loop workflowsVendor managementCross-functional collaborationMLOpsFeature storesMetadata trackingReproducible ML workflowsLab automationPlatform data modelingModel-ready datasetsProblem-solving