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← Lila Sciences

Senior Software Engineer, Data

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · One Charles Park, Cambridge, MA · San Francisco, CA

CHECKED 15H AGO

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

At a glance

Highlights

  • Build the data backbone powering autonomous science across medicine and materials.
  • Create self-service tools that turn raw lab measurements into discoveries.
  • Build cutting-edge tools for automated scientific analysis with lab scientists.

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 and company-subsidized lunch

Ideal candidate

A collaborative backend builder with 5-8+ years scaling production systems who thrives in fast-paced, cross-functional science teams and cares about user-centered design and turning complex data into discovery.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5-8+ years building and deploying large-scale backend systems in production
  • Hands-on experience with AWS, Kubernetes, IaC and CI/CD pipelines
  • Experience with ORMs and web services for CRUD services
  • Experience with orchestration tools (Airflow, Prefect, Temporal, Dagster)
  • Full-stack web app development experience
  • Hands-on experience using AI coding assistants for productivity
  • Strong cross-functional communication and problem-solving skills

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 ↗