Scientific Operations – Associate / Scientist (Contract)

Reposted 5 Days Ago
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Cambridge, MA, USA
In-Office
30-45 Hourly
Junior
Artificial Intelligence • Healthtech • Software • Biotech
The Role
The role involves supporting daily lab operations, maintaining inventories, coordinating schedules, and ensuring documentation for reproducibility in a fast-paced scientific environment.
Summary Generated by Built In

Scientific Operations – Associate / Scientist (Contract)

Location: On-site, Cambridge MA
Type: Full-time (40h/week) contractor (3-6 months)
Pay: $30-45/h (pay is based on a 40 hour per week schedule and depends on experience/expertise)
Level: Early Career (2–5 years industry experience)

About the Role

  • We’re looking for a hands-on, detail-driven Scientific Operations Associate to help keep our labs running smoothly as we continue to scale.

  • You’ll be embedded in day-to-day lab operations to support experiments, uncover edge cases in protocols, and collaborate with both scientists and automation systems to help build the infrastructure behind fast, reproducible science.

  • This is a true doer role in an early-stage startup. You’ll wear many hats, move quickly, and help turn messy, real-world lab work into clean, repeatable operations that scale.

What you’ll accomplish with us:

Lab Ops & Daily Execution

  • Keep labs organized, stocked, and ready for daily experimentation.

  • Assist with lab setup and teardown for protocols and workflows.

  • Draft and maintain SOPs, protocols, QA/QC, and operational documentation.

  • Coordinate staff scheduling, shared equipment booking, and lab logistics.

  • Support EHS requirements, audits, and compliance reporting.

  • Maintain chemical and biological inventories, wastestreams, and documentation.

  • Help onboard and train visiting operators.

Inventory, Procurement & Equipment

  • Order reagents, consumables, and equipment; track deliveries and usage.

  • Maintain accurate inventory to avoid downtime.

  • Support equipment set-up, maintenance, calibration, and vendor coordination.

Technical Excellence

  • Assist with scaling, stress testing, and troubleshooting protocols.

  • Support benchmarks to validate reproducibility and scalability across lab settings.

  • Generate high-quality, structured experimental data for deviations, and edge cases

  • Document critical experimental variables for robust handoffs to humans and robots.

  • Capture of tacit biological knowledge, from intent to execution.

  • Be customer obsessed: initiate, support, and lead initiatives to deliver results to clients.

Requirements:

  • Work onsite daily in Cambridge, MA.

  • Bachelor’s or higher degree in a scientific or technical field.

  • 2–5 years of demonstrated hands-on lab experience with modern wet lab techniques

  • A strong desire to improve scientific workflows.

  • Experimental design skills with a strong bias toward documentation, reproducibility, and iteration.

  • Ability to troubleshoot protocols systematically, with attention to technical and human variability.

  • Familiarity with digital lab tools (e.g., ELNs, LIMS, lab automation systems)

  • Strong organizational skills and attention to detail.

  • Clear communicator and collaborative teammate.

  • Comfortable working in fast-paced, hands-on lab environments.

Nice to Have

  • Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

  • Experience with assay design, development, and optimization

  • Coding experience for complex data analysis and statistics (python, R)

  • Hands on experience troubleshooting next generation sequencing assays

  • Demonstrated experience using AI/ML tools in research, whether for experimental design, data analysis, or predictive modeling.

  • Experience working with or supporting internal lab teams as well as direct customer-facing work in partner or external lab environments.

Skills Required

  • Bachelor's or higher degree in a scientific or technical field
  • 2-5 years of demonstrated hands-on lab experience with modern wet lab techniques
  • Strong desire to improve scientific workflows
  • Experimental design skills with a strong bias toward documentation
  • Ability to troubleshoot protocols systematically
  • Familiarity with digital lab tools
  • Strong organizational skills and attention to detail
  • Clear communicator and collaborative teammate
  • Comfortable working in fast-paced, hands-on lab environments
Am I A Good Fit?
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The Company
Year Founded: 2018

What We Do

Transfyr develops AI-powered systems and infrastructure to capture, interpret, and distribute scientific knowledge, making scientific work legible, transferable, and reproducible to accelerate innovation.

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