Informatics Engineer

Company Overview: Prime Medicine is a leading biotechnology company dedicated to creating and delivering the next generation of gene editing therapies to patients. The Company is leveraging its proprietary Prime Editing platform, a versatile, precise and efficient gene editing technology, to develop a new class of differentiated, one-time, potentially curative genetic therapies. Designed to make only the right edit at the right position within a gene while minimizing unwanted DNA modifications, Prime Editors have the potential to repair almost all types of genetic mutations and work in many different tissues, organs and cell types. Prime Medicine is currently progressing a diversified portfolio of investigational therapeutic programs organized around our core areas of focus: hematology, immunology & oncology, liver and lung. Across each core area, Prime Medicine is focused initially on a set of high value programs, each targeting a disease with well-understood biology and a clearly defined clinical development and regulatory path, and each expected to provide the foundation for expansion into additional opportunities. For more information, please visit www.primemedicine.com . About the role We're hiring an Informatics Engineer to build the scientific data and computing platform that powers Prime Medicine's gene editing programs. You will work in close partnership with our computational biology team and our cloud infrastructure team. The role suits someone who's comfortable owning a platform end-to-end, building the engineering foundations that scientists across the organization rely on, including data pipelines and APIs through to AI-enabled internal tooling. Your engineering judgment about what to build and how to build it will shape how Prime Medicine works with scientific data day-to-day. What you'll do Design and build the data platform connecting NGS instruments, laboratory informatics systems (Benchling), and AWS cloud compute; covering automated ingestion, provenance tracking, scalable storage, and observability. Build production-grade APIs, SDKs, and internal tools that bring genomic data and analytical capabilities to scientists across the organization. Build the orchestration layer for the automated, event-triggered execution of our scientific pipelines. The pipelines themselves (amplicon-seq, off-target analysis, and others) are co-developed with our computational biology team; you'll own how they run, scale, and integrate. Ship AI-powered and agentic capabilities such as RAG over internal scientific data, agentic workflows with human-in-the-loop review, and internal copilots that streamline routine workflows across the organization connecting both science and business needs. Build integrations across the scientific tool chain so data moves reliably between ELNs, LIMS, instrument software, and cloud compute. Translate scientific requirements into reliable, maintainable software, helping bring research prototypes into production-grade systems. Partner with computational biologists, lab scientists, and our cloud-support team to continuously improve platform performance, cost, and reliability. What we're looking for This is an Infrastructure engineering focused role, well suited to candidates whose primary background is software engineering, data engineering, or scientific platform engineering, with a strong interest in applying those skills to scientific problems. Requirements : 5+ years of full-time engineering experience (3+ for those with an MS or PhD) in production environments. Strong Python programming skills. Production AWS experience with depth in event-driven, cloud-native architectures , including AWS Lambda, EventBridge (or comparable event-routing infrastructure), and Infrastructure as Code with Terraform or CDK. Docker / containerization , Git-based workflows, CI/CD, code review, and testing code in DEV/TEST environments before deploying to production. A track record of building integrations and automatio