Lab It & Ot Systems Administrator

Lila Sciences Lila Sciences · AI Frontier · One Charles Park, Cambridge, MA · Business Operations

This role is responsible for the day-to-day administration, troubleshooting, and improvement of computing infrastructure within Lila Sciences' laboratory environments, focusing on the layer between corporate IT and operational technology. It involves managing workstations, edge compute, lab networking, and instrument-adjacent systems to ensure reliable autonomous science operations. The position will also contribute to defining standards and building playbooks for the IT/OT convergence program.

What you'd actually do

  1. Provide day-to-day administration and troubleshooting for laboratory computing assets, including lab-area workstations, edge compute nodes, lab-supplied PCs, and dedicated lab-network infrastructure (switches, access points, cabling).
  2. Provide IT-side support for laboratory instruments and automated platforms, including networking, identity integration, agent deployment decisions, and image/configuration alignment with company standards.
  3. Maintain accurate, current Lab IT asset records in the enterprise CMDB, including device tier, owner, location, configuration baseline, and lifecycle state.
  4. Contribute to the development and ongoing maintenance of the standardized device catalog and golden image program for laboratory computing equipment.
  5. Work alongside the OT network team to support and operate dedicated laboratory network infrastructure, including access points, intermediate distribution switches, and instrument-tier switching.

Skills

Required

  • IT systems administration
  • troubleshooting
  • network infrastructure management
  • asset management
  • change control
  • vendor management
  • scripting/automation

Nice to have

  • experience in laboratory or manufacturing environments
  • understanding of OT systems
  • familiarity with ITSM platforms
  • security best practices for specialized environments

What the JD emphasized

  • meaningful portion of that experience spent supporting non-standard or specialized environments
  • change control matters more than speed
  • apply appropriate prioritization for experiments in progress and time-sensitive scientific work
  • uphold change-control discipline as a core principle of the role