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 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.
The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on several factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus) and an annual long-term incentive award (e.g., equity).
Prime Medicine offers a comprehensive Total Rewards package with robust health, financial, and wellness benefits—including medical, dental, vision, life insurance, a 401(k) match, and equity programs—along with generous paid time off, wellness days, and company-wide recharge breaks.
Our commitment to employee well-being reflects our belief that when we care for our people, we strengthen our ability to put patients first and make meaningful impact together.
Prime Medicine is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability, veteran status, or any other classification protected by law.
Skills Required
- BS with 5+ years or MS with 3+ years of industry experience in Engineering, Bioinformatics, Data Sciences, or a related field
- Strong Python development and proficiency with Nextflow, Docker, AWS, Linux/Unix, and Git
- Experience developing and deploying bioinformatic data infrastructure, particularly NGS analysis pipelines
- Experience implementing or integrating laboratory informatics systems, preferably including Benchling
- Experience developing and maintaining production-grade APIs and SDKs
- Familiarity with LLM frameworks and practical judgment about where agentic approaches add genuine value
- Track record of shipping software that scientific or technical users adopt and rely on
What We Do
Prime Medicine was founded to bring the promise of gene editing to patients. We use Prime Editing, a next-generation technology that can “search and replace” to restore normal genetic function almost anywhere in the genome. Prime Editing searches to find the precise place in the genome to edit and replaces the segment of faulty DNA with a correct copy of DNA. A single Prime Editor can correct the individual mutations found across patients, meaning Prime Editing can potentially address more than 90 percent of known disease-causing genetic mutations. We envision a world where this technology can cure, halt, and ultimately prevent genetic diseases, providing lifelong benefit to patients. Prime Medicine offers the opportunity to shape the future of gene editing and transform how medicines are used to treat disease. Realizing the promise of Prime Editing requires a talented team with diversity of viewpoints and expertise. We’re building a group of dedicated, scientifically curious individuals who are passionate about helping patients live longer, healthier lives.
