Research Equipment Lead

Parabilis Medicines

Cambridge, MA, United States
Base: $86,000-$110,000 py; bonus/equity: annual ta...
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Equipment lifecycle management
Preventive maintenance programs
Vendor coordination
** Parabilis Medicines is seeking a Research Equipment Lead to manage the lifecycle of laboratory equipment and ensure the seamless operation of research activities. This role requires technical expertise in equipment management, collaboration across departments, and the integration of automation and AI-driven solutions. **

Job Summary

  • The Research Equipment Lead is responsible for enabling Parabilis’ cutting-edge research by ensuring laboratory equipment is strategically selected, optimally configured, highly reliable, and continuously improving.
  • This role owns the full lifecycle of research instrumentation and partners closely with Research, Finance, Facilities, IT, Quality, and external vendors to minimize downtime, enable automation, and support scalable, reproducible science.
  • The Research Equipment Lead plays a critical role in aligning equipment strategy with scientific roadmaps, growth plans, and financial and regulatory requirements.

Matching Summary

Match Score: 75

** Parabilis Medicines is seeking a Research Equipment Lead to manage the lifecycle of laboratory equipment and ensure the seamless operation of research activities. This role requires technical expertise in equipment management, collaboration across departments, and the integration of automation and AI-driven solutions. **

Salary

Base: $86,000-$110,000 per year; Bonus/Equity: annual target bonus, equity; Benefits: comprehensive suite of competitive benefits

Skills & Requirements

Must-have

  • equipment lifecycle management
  • preventive maintenance programs
  • vendor coordination
  • laboratory automation
  • AI-driven approaches

Nice-to-have

  • cross-functional collaboration
  • technical training delivery
  • emerging technology evaluation
  • AI tools for daily work

Key Requirements

  • 5-7+ years of experience
  • Bachelor's degree in Engineering, Life Sciences, Chemistry, Physics, or related
  • Advanced degree preferred
  • Experience implementing laboratory automation
  • Familiarity with AI/data-driven approaches

Work Rights

Not specified

Tailored Resume

Cover Letter