Teams at Medra

Develops post-training recipes and data pipelines for AI models, creates evaluations, builds agentic systems with custom tools, and integrates reasoning capabilities into live scientific workflows. The role collaborates with scientists, robotics engineers, and operations teams to improve experimental design and assay development while shaping the technical direction of a new machine learning team.

Own end-to-end customer relationships for deployment and expansion of a Physical AI Scientist platform. Embed with customer teams to assess workflows, define deployment roadmaps, align engineering milestones to business objectives, build scalable engagement playbooks, track success metrics, and act as a strategic partner to executive sponsors. Drive cross-functional coordination, ship on-time, and translate complex lab science into clear business value.

Execute mammalian cell growth, transfection, recombinant protein expression, AKTA/FPLC and KingFisher purification, and analytical QC using SEC, UPLC/HPLC, concentration assays, endotoxin testing, and SDS-PAGE. Prepare buffers and columns, maintain instruments, analyze chromatograms, document experiments in ELNs, and refine SOPs. Collaborate with roboticists and software engineers to convert laboratory workflows into reliable, high-throughput autonomous protocols.