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Staff / Principal Automated Systems Engineer

Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA

CHECKED 15H AGO

Bio & Science AIonsitestaff$163k–$228k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build scalable high-throughput automated workcells for lab workflows.
  • Develop automation for synthesis and characterization of advanced materials.
  • Translate scientific intent into reliable real-world automated systems.

What they offer

  • Competitive base compensation with bonus potential and early-stage equity
  • Medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company-wide holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits including bike share
  • Company subsidized lunch program

Ideal candidate

Hands-on systems thinker who thrives at the science-engineering interface and loves turning research goals into robust automation. Collaborative, detail-oriented, and energized by fast-paced R&D and emerging lab technologies.

Requirements

  • Bachelor's or advanced degree in Materials Science, Chemistry, Engineering, or related field
  • Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings
  • Understanding of Python programming, including API integration and error handling
  • Understanding of CAD design and rapid prototyping, including 3D printing
  • Hands-on experience with hardware systems including electrical wiring, sensors, liquid/gas plumbing, and PID controllers
  • Familiarity with advanced experimental systems including vacuum, laser, furnace, and electrochemical experimentation
  • Knowledge of machine vision applications and robotics control algorithms
  • Proven ability to integrate hardware and controls systems with automation workflows
  • Understanding of AI-driven decision-making in research automation
  • Prior experience leading technical teams in a fast-paced R&D environment

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗