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Senior Manager, Scientific Discovery Capacity Planning

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

CHECKED 16H AGO

Bio & Science AIonsitesenior$140k–$173k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own end-to-end capacity planning linking customer demand to delivery.
  • Scale AI Science Factories from research to commercial operations.
  • Build Integrated Business Plan connecting operations, science and finance.

What they offer

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

Ideal candidate

A cross-functional owner who thrives in ambiguous scientific environments and loves turning complex operational data into clear, profitable growth plans.

Requirements

  • Has worked in detail across a technical, scientific, or laboratory landscape quickly and translated it into strategic processes
  • 6-8+ years of experience in strategic finance, business or revenue operations, or operations
  • Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact
  • Demonstrated experience building and operationalizing a planning tool, system, or process
  • Experience defining a data model or planning framework from first principles, including units of measure and standard definitions
  • Demonstrated ability to manage cross-functional stakeholders across multiple disciplines while operating with ownership
  • Bachelor's degree in finance, economics, engineering, operations, or a directly related technical field

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 ↗