Lila Sciences
Technology
SeniorSoftwareEngineer,ScientificSystemofRecord
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Scientific System of Record at Lila Sciences. Skills: Full stack development, System of Record, Scientific workflows, Data modeling. Build systems modeling scientific intent. Build systems modeling experiment planning”
Industry & Context.
Problem solving; Troubleshooting
What They're Looking For.
Must Have
4-6+ years engineering experience, Front-end or backend expertise, TypeScript, React, and Python experience, Application and API development experience, Experience with SQL, Experience operating production software, Communication skills, Track record of working cross-functionally, Ownership of ambiguous technical problems, Make practical trade-offs, Deliver maintainable solutions
Nice to Have
Experience building modern applications with React, Experience building modern applications with Python, Experience with NoSQL, Experience with vector databases, Experience with search systems, Experience with data lakehouse, Hands-on experience using AI coding assistants, Hands-on experience using AI-augmented engineering workflows
What You'll Do.
Build systems modeling scientific intent
Build systems modeling experiment planning
Build systems modeling protocol execution
Build systems modeling sample state
Build systems modeling asset state
Build systems modeling operational events
Build systems modeling results capture
Design and implement UIs
Implement well-documented UIs
Design and implement APIs
Implement secure APIs
Implement well-documented APIs
Build front-end services
Build backend services
Develop domain models
Develop data contracts
Improve system performance
Contribute to observability
Contribute to reliability
Contribute to operational excellence
Use modern DevOps practices
Build production-grade systems
Deploy production-grade systems
Partner with scientists
Partner with ML researchers
Partner with platform engineers
Partner with data engineers
Partner with automation teams
Partner with product managers
Translate scientific needs into software
Translate operational needs into software
Contribute to architecture discussions
Contribute to code reviews
Contribute to testing practices
Contribute to documentation
Contribute to shared engineering standards
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Collaborate with scientists; Collaborate with ML researchers; Collaborate with platform engineers; Collaborate with data engineers; Collaborate with automation teams; Collaborate with product managers
Full Job Description
Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with full stack experience to join our Scientific System of Record Team (SSR), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop. What You'll Be Building 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
Applying for this Senior Software Engineer, Scientific System of Record role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Lila Sciences?
Real rants from real employees. Read before you apply.