Research Engineer, Scientific Data & Workflow Infrastructure
Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA
Bio & Science AIonsite$148k–$240k
At a glance
Highlights
- Build provenance infrastructure tracing every scientific input, run, and result.
- Turn ephemeral agent traces into durable, queryable scientific records.
- Power drug discovery via ML and physics-based simulation workflows.
What they offer
- Bonus potential
- Generous 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 subsidized lunch
Ideal candidate
A systems-minded engineer who loves embedding with scientists and cares deeply about reproducibility, shared infrastructure, and turning prototypes into maintainable tools.
Requirements
- Strong Python engineering skills with track record designing and shipping maintainable systems
- Experience with data modeling including schemas, metadata, identifiers and versioning
- Experience designing APIs and building libraries used by engineers or scientists
- Experience supporting research workflows with focus on reproducibility
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
Posted · Last seen