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Senior Software Engineer, Scientific System of Record

Lila Sciences· Software
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Hybrid (Cambridge, MA and San Francisco, CA)$144k - $240kfull-timePosted 4mo ago

About the role

Senior Software Engineers with full stack experience to join the Scientific System of Record Team (SSR) at Lila Sciences, building tools for automated scientific analysis and ensuring reproducibility within lab workflows, data systems, and production services.

Responsibilities

  • Lab Execution and Scientific Workflows: Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.
  • User Interfaces and APIs: Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.
  • Application Development: Build front-end and backend services with a focus on performance, maintainability, and reliability.
  • Data and System Modeling: Develop domain models, schemas, indexes, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems.
  • Reliability, Performance, and Scale: Diagnose bottlenecks, improve system performance, and contribute to observability, reliability, and operational excellence for production systems.
  • Cloud and Infrastructure: Use AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems.
  • Cross-Functional Collaboration: Partner with scientists, ML researchers, platform engineers, data engineers, automation teams, and product managers to translate scientific and operational needs into software.
  • Engineering Quality: Contribute to architecture discussions, code reviews, testing practices, documentation, and shared engineering standards.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 4-6+ years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
  • Strong expertise in at least one of the following areas, with the ability to work across the stack: front-end engineering, backend engineering, or data modeling and system design.
  • TypeScript, React, and Python: Strong experience building modern applications with React and TypeScript; Python experience is strongly preferred.
  • Application and API Development: Experience designing, building, and maintaining APIs, services, and application components with a focus on reliability, performance, and maintainability.
  • Databases and Data Modeling: Experience with SQL and at least one of NoSQL, vector databases, search systems, or data lakehouse architectures; familiarity with schema design, indexing, and query optimization.
  • Production Systems: Experience operating production software, including debugging, monitoring, performance tuning, and improving reliability over time.
  • Collaboration: Strong communication skills and a track record of working cross-functionally with engineers, product teams, scientists, or other domain experts.
  • Problem Solving: Ability to take ownership of ambiguous technical problems, make practical trade-offs, and deliver maintainable solutions.
  • Hands-on experience using AI coding assistants or AI-augmented engineering workflows to improve productivity.

Skills

Required:Front-end engineeringBack-end engineeringData modeling and system designTypeScript
Nice to have:Python

Benefits

  • Comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; educational assistance program; commuter benefits; bike share memberships; company subsidized lunch program.
Last updated Jul 8, 2026. Interested? Apply on the company site.
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About Lila Sciences

Pioneering Scientific Superintelligence

Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.

Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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