Informatics Engineer
Core
Build the scientific data and computing platform powering gene editing programs, connecting NGS instruments, lab systems, and cloud compute to deliver production-grade APIs and AI-enabled tooling for scientists.
Role type
Senior Infrastructure/Platform Engineer (Life Sciences)
Builds
End-to-end data platform, automated scientific pipelines, AI-powered internal tooling, and integrations across the scientific tool chain.
Domain
Biotechnology / Gene Editing / Genomics
Deliverable
production ML models | product features | infrastructure
Required skills
Python, AWS (Lambda, EventBridge, IaC), Docker, CI/CD, Event-driven architecture, Scientific data integrations, Relational databases
Preferred skills
NGS workflow expertise, Workflow orchestration (Nextflow), Lab informatics (Benchling), AI/LLM tooling (LangChain, RAG), GxP/21 CFR Part 11 compliance
Technologies
AWS, Terraform, CDK, Docker, Git, Benchling, Nextflow, LangChain, PostgreSQL, MSSQL
Responsibilities
Design and build data platform connecting NGS instruments and cloud compute; Build production-grade APIs and internal tools; Own orchestration layer for automated scientific pipelines; Develop AI-powered capabilities and agentic workflows; Integrate scientific tool chain (ELNs, LIMS, instruments); Translate scientific requirements into maintainable software.
Seniority
Senior, hands-on IC
