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← Lila Sciences

Staff Software Engineer, Scientific System of Record

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

CHECKED 14H AGO

Bio & Science AIonsitestaff$144k–$288k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build the memory layer connecting scientific intent to physical reality
  • Help close the Design-Build-Test-Learn loop for autonomous discovery
  • Build AI-driven platform executing the full scientific method at scale

What they offer

  • Bonus potential and early-stage equity
  • Medical, dental and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company holidays and paid parental leave
  • Educational assistance program
  • Commuter benefits and subsidized lunch program

Ideal candidate

A collaborative systems thinker energized by scientific impact, comfortable owning complex problems across front-end and backend and partnering with researchers to make discovery reproducible.

Requirements

  • Bachelor's or Master's in Computer Science, Engineering, or related field
  • 6-8+ years building and deploying large-scale production systems
  • Strong expertise across front-end, backend, or data modeling and system design
  • Strong experience with React and TypeScript; Python strongly preferred
  • Strong experience with SQL, NoSQL and vector databases, schema design and query optimization
  • Proven ability to design and scale RESTful or GraphQL APIs
  • Hands-on experience using AI coding assistants
  • Experience in life sciences, materials science, or other data-intensive research domains
  • Strong cross-functional communication with scientists, engineers and product teams
  • Proven ownership of complex technical trade-offs across scalability and maintainability

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 ↗