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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 automations. Experience in a life-science related industry involving scientific or regulated data, such as biotech, pharma, healthtech, clinical informatics, scientific instrumentation, or agricultural genomics.

Nice to have

• NGS expertise. Knowledge of NGS technology, workflows and pipeline architecture is strongly preferred.
• Hands-on workflow orchestration experience. Familiarity with Nextflow/NextFlow Tower/Seqera Platform preferred.
• Laboratory informatics experience with Benchling or comparable ELN/LIMS, as an operator, builder, or administrator.
• AI / LLM tooling and agentic systems (LangChain, LangGraph, MCPs, RAG architectures).
• Gene editing familiarity: CRISPR, base editing, prime editing.
• GxP / 21 CFR Part 11 / regulated-software experience.
• Plotly Dash, Streamlit, Spotfire, Retool, or similar tools for internal apps and data visualizations.
• Experience managing or querying relational databases (PostgreSQL, MSSQL).

Interview process

The process includes a recruiter conversation, a hiring manager interview, and a small panel that includes computational biology, engineering, and wet lab partners. A Python coding exercise is part of the process

Logistics and policy

• Hybrid with office in Cambridge, MA. We are not currently able to sponsor visas. US work authorization at the time of application is required.
• Competitive base salary, equity, and standard benefits.