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Chemistry Technical Program Manager

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

CHECKED 14H AGO

Bio & Science AIonsitesenior$128k–$172k
Apply on the lab’s site ↗

At a glance

Highlights

  • Accelerate chemical discovery from synthesis pathways to clean energy design.
  • Own day-to-day execution of autonomous chemistry discovery programs at scale.
  • Translate science goals into workstreams for autonomous experimentation.

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 holidays
  • Paid parental leave
  • Educational assistance program
  • Company-subsidized lunch program

Ideal candidate

A program craft lover with 10+ years in chemistry or deep tech who thrives in ambiguity and loves creating order, unblocking teams, and enabling fast, rigorous science at startup speed.

Requirements

  • 10+ years of program or project management experience in a chemistry, pharmaceutical, or deep tech environment
  • Bachelor's degree in Chemistry, Chemical Engineering, or a related field
  • Track record of managing multiple concurrent programs in fast-paced, ambiguous environments
  • Demonstrated ability to coordinate across scientific and operational stakeholders and manage complex cross-functional dependencies
  • Sufficient scientific fluency to understand Chemistry program goals and communicate them clearly
  • Experience supporting commercial program delivery and working with external partners or customers
  • Exceptional written and verbal communication skills with clear stakeholder updates

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 ↗