Director, Sustaining Engineering & Lab Operations

Lila Sciences Lila Sciences · AI Frontier · Alewife, Cambridge, MA +1 · Autonomous Science Platform

This role focuses on building and scaling the operational infrastructure for AI Science Factories (AISFs), which are automated, AI-directed labs. The Director will own fleet reliability, incident response, and continuous improvement for these labs, defining operating models, driving AI integration in operations, and managing supply chain and asset management. While the labs use AI, the role itself is in sustaining engineering and lab operations, not directly building AI models or core AI systems.

What you'd actually do

  1. Build the Local Site Sustaining Engineering function from scratch in partnership with HCE and Global Engineering; incorporates Maintenance Engineering (instrument PM, calibration, first-response troubleshooting) as a sub-capability
  2. Own fleet reliability, incident response, and AISF health at the site — on-call rotations, severity policy, incident playbooks, RCA library
  3. Define and own the operating model across Lila sites — from single-shift pilot to multi-site, continuous operations
  4. Own end-to-end supply chain continuity for lab consumables, reagents, and PPE across all shifts and sites
  5. Lead Lila's thinking on AI-enabled site operations and equipment health (predictive maintenance, anomaly detection, AI-assisted RCA, predictive inventory, asset tracking)

Skills

Required

  • Sustaining Engineering
  • Lab Operations
  • Maintenance Engineering
  • Fleet Reliability
  • Incident Response
  • Root Cause Analysis
  • Continuous Improvement
  • Supply Chain Management
  • CMMS
  • Asset Management
  • Team Leadership
  • Scaling Operations
  • Process Definition
  • KPI Tracking
  • Vendor Management
  • Logistics Management
  • Biotech or Industrial Reliability Best Practices

Nice to have

  • Experience with AI-enabled predictive maintenance
  • Experience with AI-assisted RCA
  • Experience in regulated environments (e.g., GMP, ISO)

What the JD emphasized

  • fleet reliability
  • incident response
  • AISF health
  • AI-enabled site operations
  • AI-assisted RCA