Teams at Lila Sciences

Operate and recover automated scientific workcells during a permanent shift, troubleshoot instrument, software, and run failures, and drive reliability and throughput improvements. Coordinate downtime, maintenance, vendor service, and cross-disciplinary root-cause investigations. Execute calibrations, improve diagnostic tools and recovery playbooks, document events, and conduct structured shift handoffs. The role supports live production in an on-site Cambridge laboratory environment.

Provides legal counsel to AI research, product, data, safety, and security teams developing frontier scientific AI systems. Advises on training data, copyright, licensing, privacy, model releases, open-source strategy, research collaborations, autonomous experimentation, biosecurity, AI regulation, export controls, infrastructure, and regulatory inquiries. Builds scalable legal frameworks, playbooks, templates, and self-service guidance for a rapidly evolving AI and life sciences organization.

Leads the engineering team responsible for LIMS user interfaces, applications, APIs, and data architecture supporting scientific workflows. Sets technical direction, shapes the roadmap, hires and develops engineers, and partners with scientific, product, ML, data, automation, and platform teams. Ensures systems provide reliable, auditable, traceable, and reproducible records of experiments, samples, protocols, results, and laboratory operations while integrating with automation and platform infrastructure.