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Azenta

Automated cold-chain sample management and multiomics

Full Stack Software Engineer

Full-Stack EngineeringPosted on Nov 9
Full-timeSouth Plainfield, NJ, USA$114k - $142kIn-person

About the Job

Requirements

  • At least 3 years of professional full-stack software development experience building and supporting enterprise or operational platforms.
  • Strong proficiency with a modern front-end framework such as React or Vue, including reusable component development and responsive user-interface design.
  • Strong back-end development experience with .NET or Python, including REST APIs, service design, relational databases, and data modeling.
  • Experience with Git-based development, automated testing and continuous integration/continuous deployment (CI/CD), Docker or similar container technologies, and deployment on AWS.
  • Experience designing secure, scalable, observable, and supportable applications, including authentication, authorization, logging, monitoring, and error handling.
  • Experience integrating enterprise systems through APIs, web services, messaging, or file-based interfaces; experience with operational, manufacturing, healthcare, scientific, or other workflow-intensive systems is applicable.
  • Solid understanding of modular architecture, distributed-system design, data integrity, performance optimization, and software engineering best practices.
  • Ability to translate complex operational workflows and requirements into clear technical designs, testable acceptance criteria, and intuitive software solutions.
  • Strong analytical, problem-solving, documentation, and communication skills, with the ability to work effectively across Lab Operations, Bioinformatics, LIMS, Quality, and IT teams.

Responsibilities

  • Design, develop, test, deploy, and maintain full-stack capabilities across user interfaces, services, APIs, integration middleware, and data layers, including converting prototypes into formal, scalable software solutions.
  • Translate user requests and operational needs into intuitive workflows and user experiences that simplify laboratory work and improve usability.
  • Define data models and build secure, traceable APIs for exchanging core sample, workflow, status, and metadata between the platform and the LIMS, with support for additional data domains as the platform evolves.
  • Contribute to architecture decisions and optimize application performance, scalability, reliability, security, observability, and supportability.
  • Extend the platform to integrate with laboratory instruments and automation systems as priorities evolve, including data capture, validation, error handling, retries, and operational monitoring.
  • Collaborate with Quality Assurance to produce requirements, design specifications, test evidence, release documentation, and audit-ready records for regulated workflows.
  • Collaborate with teams across the U.S., EMEA, and APAC to deliver consistent, reusable platform capabilities and support regional laboratory needs.
  • Integrate the laboratory platform with enterprise identity, messaging, data, and monitoring services using supported APIs and security standards.

Desired Qualifications

  • Experience developing enterprise, operational, manufacturing, healthcare, scientific, or other workflow-intensive software platforms; exposure to laboratory informatics or LIMS is a plus.
  • Experience integrating software with external devices, automation platforms, robotics, or specialized equipment using APIs, messaging, serial, file-based, or vendor-specific interfaces.
  • Familiarity with workflow, transaction, status, result, and metadata models used in operational system integrations; exposure to sample-management or LIMS data models is a plus.
  • Experience delivering software in regulated or quality-controlled environments and contributing to validation or assurance activities, data-integrity controls, audit trails, and release documentation.
  • Previous experience contributing to platform modernization, service decomposition, or migration from manual and legacy processes to scalable digital workflows.
  • Experience creating responsive, accessible user interfaces or reusable component libraries for operational users in desktop and mobile environments.
  • Experience working in an Agile software delivery team and collaborating with operational users, product partners, Quality Assurance, enterprise-system owners, and IT stakeholders across regions.
  • Exposure to AI-assisted workflows using APIs, prompt engineering, retrieval-augmented generation, or vector search.

About the Company

Azenta

Automated cold-chain sample management and multiomics

Azenta provides life sciences solutions focused on end-to-end sample management and genomic services. It combines automated ultra-cold storage, cryogenics, consumables, instruments, and repository services with genomic services like sequencing and gene synthesis through its GENEWIZ brand. The company offers an integrated stack of hardware, consumables, software (LIMS like Limfinity and Freezer Pro), and services to collect, store, and analyze biological samples across their lifecycle. Its end-to-end portfolio and recurring revenue, supported by acquisitions, differentiate it from competitors and aim to speed up drug development, clinical research, and advanced cell therapies by preserving sample integrity from collection to analysis.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Burlington, MA
Founded
1978

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