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← Lila Sciences

Senior/Principal Scientist, Small Molecule Therapeutics

Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA

CHECKED 13H AGO

Bio & Science AIonsitesenior$148k–$208k
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At a glance

Highlights

  • Lead early hit identification to discover novel chemical matter.
  • Build AI-enabled small molecule screening platform with automation.
  • Drive hits from validation through hit-to-lead workflows.

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
  • Company-subsidized lunch program

Ideal candidate

Drug discovery scientist with 6+ years in small-molecule hit finding who thrives in fast-paced, automation-driven teams and loves building screening platforms that power AI-guided chemistry.

Requirements

  • PhD in biology or related field with 6-8 years drug discovery experience or MS/BS with 10+ years
  • Proven success designing and executing DNA-encoded library screening campaigns to validated hits
  • Working knowledge of complementary hit-finding modalities including fragment, affinity and functional approaches
  • Experience developing and optimizing biochemical and biophysical assays for hit validation
  • Hands-on affinity characterization using methods such as SPR, BLI, DSF, ITC or MST
  • Experience in automation-enabled labs with liquid handling and scalable workflows
  • Ability to partner on protein construct strategy, expression and quality criteria for screening
  • Understanding of hit-to-lead funnel including counterscreens, artifact mitigation and data packages
  • Track record collaborating across chemistry, biology, automation and computational teams

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 ↗