AI & Informatics Engineer at Prime Medicine

Cambridge, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

163000.0

Posted On

20 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Nextflow, Docker, AWS, Linux, Unix, Git, NGS pipeline development, Laboratory informatics, Benchling, API development, LLM frameworks, Bioinformatics, Data infrastructure, Software engineering, Automation

Industry

Biotechnology Research

Description

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. Role Summary Prime Medicine is seeking an AI & Informatics Engineer to join our AI Foundry and support our pipeline delivery. This includes designing and building the data and computational infrastructure that powers our prime editing programs. This role spans laboratory informatics, NGS pipeline development, and AI-enabled tooling, giving the right candidate a direct line from the work they do to the therapies we develop. You will partner closely with research scientists, computational biologists and technical development professionals, turning raw data into reliable scientific insights, and building automation and AI capabilities that let teams work faster and smarter. Our ideal candidate brings strong software engineering fundamentals, hands-on NGS pipeline experience, a practical understanding of modern AI frameworks, and the biological intuition to translate scientific needs into working systems. Equally welcome are candidates who entered this space from the life sciences side and have built serious software skills along the way. This is an action packed and dynamic role where the successful candidate will be involved in multiple programs and activities, so excellent organizational abilities, communications and strong collaboration are critical. The ideal candidate thrives when working in a fast-paced environment, working with purpose, and making an impact for patients. Key Responsibilities NGS Pipelines and Data Infrastructure Design, develop, and maintain scalable bioinformatics pipelines for NGS data analysis, including amplicon sequencing for on-target editing quantification, using Nextflow and Docker to ensure reproducibility. Build and maintain data infrastructure connecting NGS instruments, electronic laboratory notebooks (e.g., Benchling), data repositories, and AWS cloud compute, including automated data ingestion, scalable storage, and provenance tracking. Build APIs, MCPs, dashboards, and other internal tools that expose genomic data and analytical capabilities to scientific and cross-functional teams. Laboratory Informatics Support implementation and ongoing development of laboratory informatics systems, including data ingestion from key instruments and integration with laboratory data platforms such as Benchling. Support vendor relationships and delivery outcomes for external collaborators, driving requirements, managing implementations, and ensuring high-quality delivery. AI-Powered Tools and Automation Build AI-powered and agentic capabilities that automate routine work, support scientific reasoning, and improve how data and knowledge flow across the organization. Develop reusable platform components for retrieval, orchestration, and model interaction, with human-in-the-loop workflows that make AI systems transparent and practical for scientific users. Identify and address automation opportunities and scalability bottlenecks across research and operational workflows. Engineering Practices Write production-grade code using Git-based workflows, peer review, testing, CI/CD, and documentation best practices; convert research prototypes into robust, maintainable software. Build integrations between internal tooling and third-party platforms to support evolving scientific and operational needs. Participate in cross-functional projects spanning lab operations, software engineering, and bioinformatics; recommend best practices, system architectures, and design patterns. Perform code reviews and contribute to documentation of engineering and cross-functional practices. Qualifications Required BS with 5+ years or MS with 3+ years of industry experience in Engineering, Bioinformatics, Data Sciences, or a related field. Candidates with biotech or life sciences with substantial software experience are strongly preferred. Strong Python development; proficiency with Nextflow (or comparable workflow tools), 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, and rolling out software tooling across an organization. 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. Preferred Experience building and deploying AI-powered tools or agentic systems in production or research settings. Familiarity with gene editing applications (CRISPR, base editing, or prime editing), including amplicon-seq workflows and tools such as CRISPResso. Familiarity with relational databases and data visualization tools (e.g., Plotly Dash, Streamlit, Spotfire). Experience in a GxP or regulated software environment (21 CFR Part 11, GAMP 5). Experience owning vendor relationships and delivery outcomes for external collaborators in laboratory informatics contexts. Why This Role Prime editing is a precise technology, and that precision depends on strong informatics, software, and scientific infrastructure. If you believe that better systems, better automation, and better access to data can translate into safer and more effective therapies, this is the right environment. You will build tools that directly shape how Prime generates, analyzes, and acts on scientific data, while helping lay the foundation for programs to come. 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. U.S. Pay Range $134,000—$163,000 USD 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.

Responsibilities

The role involves designing and maintaining scalable bioinformatics pipelines and data infrastructure to support gene editing programs. You will also build AI-powered tools and laboratory informatics systems to automate scientific workflows and improve data accessibility.