Research Engineer, Scientific Data & Workflow Infrastructure
Hybrid (Cambridge, MA / San Francisco, CA)$148k - $240kFull-timePosted 2mo ago
About the role
Role embedded with Molecular Intelligence team at Lila Sciences, building provenance and data/metadata infrastructure to connect inputs, code/model versions, runs, and results across simulation, ML, and agent-driven scientific workflows; enable reproducibility, traceability, and reuse of results across diverse scientific tools and environments.
Responsibilities
- Shared provenance infrastructure — a queryable, trusted record connecting inputs, code/model versions, runs, and outputs across simulation, ML, and agent workflows.
- Data models and metadata schemas for runs, artifacts, and results that work across heterogeneous scientific tools.
- Reusable Python libraries and APIs that let tools, pipelines, and AI agents write to and read from shared storage and metadata systems.
- Structured records from agent activity — turning ephemeral agent traces into durable, queryable data.
- Production-grade tooling from research prototypes — taking scientific workflows from one-off scripts to scalable, maintainable services.
- Engineering conventions (CI, testing, packaging, release practices, documentation) that hold up across local, cloud, and GPU compute environments.
Qualifications
- Strong Python engineering skills with a track record of designing and shipping maintainable systems.
- Experience with data modeling — schemas, metadata, identifiers, versioning for data that changes over time.
- Experience designing APIs and building libraries that other engineers or scientists depend on.
- Experience supporting research workflows (ML experiments, simulations, data pipelines) with a clear sense of what makes results reproducible.
Skills
Required:Python engineeringData modelingAPI design
Benefits
- Full benefits program for U.S. employees (medical, dental, vision; life and disability; flexible time off; holidays; parental leave; educational assistance; commuter benefits; bike share; subsidized lunch).
- International benefits tailored to region; USD salary ranges apply to U.S.-based positions; international salaries set to local market.
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
More open roles at Lila Sciences
- Staff IT Systems Engineer, Endpoints4d agoCambridge, MA · Business Operations
- Principal Network Engineer4d agoCambridge, MA · Business Operations
- Contractor, P2P Specialist4d agoCambridge, MA · Corporate Development
- Staff / Principal Research Engineer, AI Safety Mitigations4d agoHybrid (Cambridge, MA; London, UK; San Francisco, CA) · AI
- Specialist / Senior Procurement Specialist4d agoCambridge, MA · Corporate Development