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Sobre esta vaga de Full Stack Software Engineer na Azenta Life Sciences

Azenta Life Sciences · Presencial · US - South Plainfield, NJ
Azenta Inc.

At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.

All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity

Job Title

Full Stack Software Engineer

Job Description


Position Title: Full Stack Software Engineer

Location: South Plainfield, NJ


Intro


Company Overview

At GENEWIZ by Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.


As a global leader in R&D genomics services, GENEWIZ, leads the way in providing superior data quality with unparalleled technical support to enable researchers around the world to advance their scientific discoveries faster than ever before.


Our customers at top-tier pharmaceutical, biotechnology, and academic institutions, as well as cutting-edge start-ups, rely on our proprietary technologies for consistent, reliable, high-quality data, even on the most difficult projects. A full-service provider, we provides Sanger DNA sequencing, gene synthesis, molecular biology, high throughput/next generation sequencing, bioinformatics, and GLP regulatory services


How You’ll Make an Impact

We are hiring a Full Stack Software Engineer to design, build, and support a laboratory operations platform that connects day-to-day lab workflows with our Laboratory Information Management System (LIMS). As an individual contributor, you will develop intuitive user interfaces, back-end services, APIs, and reliable data integrations that improve sample and workflow tracking, automate manual handoffs, and provide laboratory teams with timely operational visibility.


The ideal candidate is a pragmatic engineer who can turn existing prototypes, laboratory processes, and user needs into secure, traceable, and intuitive software. You will partner with Lab Operations, Bioinformatics, LIMS, Quality, and IT teams to define requirements and deliver a scalable platform that supports workflow orchestration, bidirectional LIMS data exchange, exception handling, auditability, and future laboratory applications.


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.

Required Qualifications

  • 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 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; familiarity with laboratory workflows is helpful but not required.
  • Strong analytical, problem-solving, documentation, and communication skills, with the ability to work effectively across Lab Operations, Bioinformatics, LIMS, Quality, and IT teams.

  

Preferred 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 is helpful but not required.

  

Illustrative technologies may include:

  • Frontend: React, Tailwind, Storybook
  • Backend: .NET, Python
  • Database: SQL (PostgreSQL/SQL Server) and NoSQL (MongoDB/DynamoDB).
  • Test and Tooling: Cypress, Jest, Docker, AWS

EOE M/F/Disabled/VET

If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance. 

Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.

United States Base Compensation: $114,000.00 - $142,000.00

The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications),  qualifications, performance, and geographic location, among other relevant business or organizational needs.

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Sobre a Azenta Life Sciences

Azenta is a market leader in automated bio sample management solutions and multiomics services across areas such as drug development, clinical and advanced cell therapies for the industry's top pharmaceutical, biotech, academic and healthcare institutions globally. We provide unparalleled capabilities with our lab analysis, sample management and storage services, informatics software, and consumables, with the largest installed base managing over 1 billion samples globally. As a global leader in R&D multiomics services, Azenta Life Sciences, leads the way in providing superior data quality with unparalleled technical support to enable researchers around the world to advance their scientific

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