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Associate Scientist/Scientist I, Protein Science Developability

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

CHECKED 15H AGO

Bio & Science AIonsiteassociate$88k–$144k
Apply on the lab’s site ↗

At a glance

Highlights

  • Design high-throughput protein purification workflows for diverse protein classes.
  • Integrate protein workflows into automated workcells with AI and engineering teams.
  • Advance Lila's Scientific Superintelligence platform to accelerate discovery.

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 company-wide holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits including bike share
  • Company-subsidized lunch program

Ideal candidate

A meticulous, collaborative protein scientist who thrives in fast-paced, automated labs and cares deeply about data quality, reproducibility, and accelerating discovery.

Requirements

  • MS in Biochemistry, Biophysics, Bioengineering, Molecular Biology or related field with 4+ years experience, or PhD with 0-2 years postdoc or industry experience
  • Experience operating AKTA chromatography systems across affinity, SEC, HIC, IEX with workflow development and troubleshooting
  • Hands-on LC-MS for protein characterization including intact mass, peptide mapping, PTM and glycosylation analysis
  • Familiarity with bioassay development and data analysis for ELISA, AlphaLISA, SPR/BLI and functional assays
  • Strong lab data analysis, digital recordkeeping in Benchling and collaborative workflows
  • Outstanding analytical and problem-solving skills with attention to data quality and reproducibility
  • Effective communication and eagerness to collaborate in fast-paced cross-functional team

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 ↗