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← Lila Sciences

Portfolio Manager, Government Partnerships (DARPA & ARPA-H)

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

CHECKED 15H AGO

Bio & Science AIonsitesenior$168k–$272k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own DARPA and ARPA-H portfolio end-to-end for AI-driven science.
  • Turn autonomous-lab capabilities into pilots, CRADAs and major procurements.
  • Build trusted agency posture shaping mission-critical science engagements.

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 holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits and company subsidized lunch program

Ideal candidate

A mission-driven builder with deep public-science networks who loves translating complex science into compelling narratives and forging durable agency partnerships for breakthrough discovery.

Requirements

  • 10+ years of experience in federal or international government capture, business development, or partnerships with track record of winning major awards
  • Working fluency in at least one major public-science ecosystem, with strong preference for DARPA and/or ARPA-H
  • Demonstrated ability to manage end-to-end capture from identification through award and execution handoff
  • Experience translating complex science and AI into clear narratives for senior and policy-facing audiences
  • Strong cross-functional leadership partnering with scientists, product, communications, policy, and legal
  • Excellent written communication and comfort operating with ambiguity
  • Willingness to travel regularly to build required relationships

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 ↗