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← Lila Sciences

Finance Business Partner, AI & Software

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

CHECKED 16H AGO

Bio & Science AIonsitesenior
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At a glance

Highlights

  • Partner with AI/ML leaders to turn compute and GPU spend into decisions.
  • Build KPI engine and forecasts guiding cloud and AI investment allocation.
  • Shape financial strategy for Scientific Superintelligence platform scale-up.

Ideal candidate

Builder-operator in strategic finance who thrives in ambiguity and partners closely with technical leaders. You love turning messy data into clear decisions and building planning processes from scratch.

Requirements

  • 7 to 10+ years in FP&A, strategic finance, investment banking, consulting, or similar analytical roles
  • Startup or scale-up experience strongly preferred
  • Demonstrated zero-to-one build experience across driver-based models, annual planning, rolling forecasts, KPI dashboards, and management reporting
  • Hands-on experience with technology cost management, including cloud infrastructure, compute/GPU, or AI/ML cost structures
  • Strong financial acumen and accounting fluency
  • Ability to work with imperfect datasets and reconcile to source systems
  • Clear, concise communicator who can simplify complexity, influence cross-functionally, and present to executives and the Board
  • Thrives under tight timelines and changing priorities, balancing precision with pragmatism
  • Bachelor's degree in finance, economics, engineering, math, or related 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 ↗