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← Lila Sciences

Director/Senior Director, Molecular Discovery

Lila Sciences · Cambridge, MA USA; London, UK; San Francisco, CA USA · Alewife, Cambridge, MA

CHECKED 13H AGO

Bio & Science AIonsitedirector$202k–$323k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own small-molecule programs from hit identification to candidate nomination.
  • Ensure autonomous discovery engine delivers validated candidates toward clinic.
  • Drive continuous improvement of platform throughput, quality and performance.

What they offer

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

Ideal candidate

Seasoned drug discovery leader with 12+ years driving small-molecule programs to clinic who thrives at the AI-science interface and loves operational rigor, throughput, and turning autonomous platforms into real candidates.

Requirements

  • Ph.D. in medicinal chemistry, computational chemistry, chemical biology, or related discipline
  • 12+ years in small molecule drug discovery with 5+ years in senior role advancing hit-to-lead to candidate selection
  • Demonstrated involvement in programs that delivered clinical candidates
  • Deep fluency in medicinal chemistry principles, SAR and lead optimization tradeoffs
  • Operational mindset running discovery programs with metrics, milestones and accountability
  • Strong working knowledge of ADMET, DMPK and IND-enabling data packages
  • Fluency with AI/ML-driven molecular design and judgment on computational output
  • Effective communicator translating scientific and operational status for leadership

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 ↗