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Director / Senior Director, Intellectual Property, Life Sciences

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · One Charles Park, Cambridge, MA · San Francisco, CA

Bio & Science AIonsitedirector$262k–$400k
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At a glance

Highlights

  • Own global patent strategy for therapeutic programs end to end.
  • Lead IP terms for collaborations, licenses, options and financings.
  • Build the life sciences IP function on a small high-leverage team.

What they offer

  • Competitive base compensation with bonus potential
  • 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
  • Company subsidized lunch program

Ideal candidate

A seasoned life sciences patent lawyer who owns both portfolio strategy and deal-making and wants to build for a single mission-driven company, translating IP into business decisions.

Requirements

  • J.D. and active bar admission, with USPTO registration
  • 12+ years of substantive patent experience in the life sciences
  • Technical degree in chemistry, biochemistry, molecular or cellular biology, immunology, or closely related field
  • Demonstrated ownership of global patent portfolios for biopharmaceutical products with direct responsibility for claim strategy
  • Experience across a range of therapeutic modalities
  • Track record producing patentability, validity, and FTO assessments that supported business decisions
  • Experience advising on IP aspects of collaborations, licensing, acquisitions, or financings

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 ↗

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