Informatics Engineer (AI)

Location: Hybrid with an office in Cambridge, Massachusetts, United States. US work authorization is required at the time of application; visa sponsorship is not available.

Base salary: $134,000–$163,000 USD annually, plus potential bonus, equity, and standard benefits.

Company

hirify.global is a biotechnology company developing gene editing therapies using its proprietary Prime Editing platform for applications in hematology, immunology and oncology, liver, and lung.

What you will do

• Design and build a scientific data platform connecting NGS instruments, Benchling, laboratory systems, and AWS compute.
• Develop automated ingestion, provenance tracking, scalable storage, observability, production APIs, SDKs, and internal tools for genomic data.
• Build event-triggered orchestration for scientific pipelines such as amplicon sequencing and off-target analysis.
• Develop AI-powered internal tooling, including RAG over scientific data, agentic workflows with human review, and internal copilots.
• Integrate ELNs, LIMS, instrument software, and cloud compute so scientific data moves reliably across the toolchain.
• Partner with computational biologists, laboratory scientists, and cloud-support engineers to improve platform performance, cost, and reliability.

Requirements

• 5+ years of full-time engineering experience in production environments, or 3+ years with an MS or PhD.
• Strong Python programming skills and experience building integrations and automations.
• Production AWS experience with event-driven, cloud-native architectures, including Lambda, EventBridge or comparable infrastructure, and Terraform or CDK.
• Docker or containerization, Git-based workflows, CI/CD, code review, and testing in development and test environments before production deployment.
• Experience in a life-science-related industry involving scientific or regulated data, such as biotech, pharma, healthtech, clinical informatics, scientific instrumentation, or agricultural genomics.
• US work authorization at the time of application; visa sponsorship is not available.

Nice to have

• NGS technology, workflows, and pipeline architecture experience.
• Nextflow, Nextflow Tower, or Seqera Platform experience.
• Benchling or comparable ELN/LIMS experience.
• AI and LLM tooling, including LangChain, LangGraph, MCPs, or RAG architectures.
• Gene editing, GxP, 21 CFR Part 11, internal application, data visualization, or relational database experience.

Culture & Benefits

• Hybrid work arrangement with an office in Cambridge, Massachusetts.
• Medical, dental, vision, life insurance, and 401(k) matching.
• Equity programs and eligibility for annual short-term and long-term incentive awards.
• Generous paid time off, wellness days, and company-wide recharge breaks.

Hiring process

• Recruiter conversation followed by a hiring manager interview.
• Small panel interview with computational biology, engineering, and wet-lab partners.
• Python coding exercise.