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Research Equipment Lead

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Parabilis Medicines
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    IT Support, Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Why Join Us? Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines that unlock high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities. Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers.

Its lead candidate, FOG-001, is the first direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in colorectal cancer, desmoid tumors, and a range of other Wnt/β-catenin-driven tumors. Parabilis is also advancing investigational degraders of ERG and ARON for the treatment of prostate cancer, as well as other preclinical programs.

What’s the opportunity? 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. This position requires deep and broad technical expertise across research equipment platforms, strong operational rigor, and the ability to integrate automation, data, and AI-driven approaches into lab operations.

The Research Equipment Lead plays a critical role in aligning equipment strategy with scientific roadmaps, growth plans, and financial and regulatory requirements.

Equipment Lifecycle & Operational Excellence
  • Own the full lifecycle of research equipment, from needs assessment and acquisition through installation, operation, maintenance, and retirement, ensuring high availability and performance across research groups.
  • Oversee day-to-day equipment operations, including troubleshooting, repairs, and preventive maintenance programs to minimize downtime and disruption to research.
  • Lead installation, qualification, validation, and calibration of laboratory instruments in coordination with vendors, Facilities, IT, and internal stakeholders, applying continuous improvement principles.
  • Maintain comprehensive, audit-ready documentation, including equipment inventories, maintenance logs, calibration records, service contracts, and validation documentation, in alignment with internal policies and applicable regulatory expectations.
  • Establish and monitor key performance indicators (KPIs) for equipment reliability, utilization, and downtime.
Training, Partnership & Vendor Management
  • Serve as the primary point of contact for equipment-related issues across research labs.
  • Develop and deliver technical training to ensure safe, effective, and compliant use of laboratory instruments.
  • Build strong cross-functional partnerships with Research, Facilities, IT, Quality, Procurement, and Finance to ensure seamless equipment support and alignment.
  • Manage vendor relationships, including service agreements, performance reviews, and escalation of technical issues.
Equipment Strategy, Automation & Capital Planning
  • Partner with R&D leadership to forecast equipment, automation, and digital infrastructure needs aligned with scientific strategy, growth plans, and budget constraints.
  • Collaborate with Finance on capital planning, asset tracking, depreciation, and accounting requirements for research equipment.
  • Evaluate emerging technologies, automation platforms, and AI-enabled tools; recommend capital investments that improve efficiency, scalability, data quality, and reproducibility.
  • Identify opportunities to implement laboratory automation, robotics, and software-driven workflows, including the use of AI or data analytics to optimize equipment performance, scheduling, predictive maintenance, and experimental throughput.
  • Contribute to the design or customization of novel or integrated instrumentation solutions to…
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