AI & Informatics Engineer

Prime Medicine • Cambridge, MA

1d

About The Position

Prime Medicine is seeking an AI & Informatics Engineer to join its AI Foundry and support pipeline delivery. This role involves designing and building the data and computational infrastructure for prime editing programs, spanning laboratory informatics, NGS pipeline development, and AI-enabled tooling. The engineer will partner with research scientists, computational biologists, and technical development professionals to convert raw data into scientific insights and build automation and AI capabilities. The ideal candidate possesses strong software engineering fundamentals, hands-on NGS pipeline experience, a practical understanding of modern AI frameworks, and biological intuition to translate scientific needs into working systems. Candidates with a life sciences background who have developed substantial software skills are also welcome. This is a dynamic role requiring excellent organizational abilities, communication, and strong collaboration, suited for someone who thrives in a fast-paced environment and is driven to make an impact for patients.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Benefits

• Comprehensive Total Rewards package with robust health, financial, and wellness benefits
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• 401(k) match
• Equity programs
• Generous paid time off
• Wellness days
• Company-wide recharge breaks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees