Bioinformatician

Azenta; SOUTH PLAINFIELD (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

Azenta Inc. seeks a Bioinformatician in South Plainfield, NJ to design and develop a next‑generation workflow platform that integrates sequencing data, vector biology, and AI-powered analytics.

You will translate scientific requirements into scalable, reusable workflows and self‑service capabilities, collaborating across informatics, lab, quality, and product teams to deliver validated digital products.

Qualifications

• PhD in bioinformatics, computational biology, genomics, molecular biology, biostatistics, computer science, or a related field preferred.
• Experience designing and developing automated NGS and long‑read analysis workflows, including assembly, polishing, SV analysis, quality control, and support for FASTQ, FASTA, BAM/CRAM, VCF, BED, GFF/GTF, and GenBank formats.
• Demonstrated experience translating plasmid or viral vector design principles into reusable computational rules, algorithms, or platform capabilities.
• Strong understanding of molecular biology, genetics, cloning, gene regulation, plasmid and viral vector architecture, and sequence‑to‑function relationships.
• Working knowledge of both short‑read and long‑read sequencing technologies, including their error profiles, strengths, limitations, and appropriate analysis strategies.
• Proficiency in Linux and programming or scripting languages, preferably Python, R, or Bash.
• Experience with version control, collaborative code review

Responsibilities

• Design and implement reusable algorithms, services, and workflow components to evaluate sequence designs, construct risks, manufacturability, and functional performance.
• Build configurable analytical frameworks that integrate public scientific resources, proprietary algorithms, and standardized decision rules to support sequence and vector design workflows.
• Develop customer‑facing analytics, visualizations, APIs, and self‑service tools that expose platform capabilities and turn biological data into actionable insights and recommendations.
• Architect, develop, validate, and maintain scalable workflows for long‑read, short‑read, Sanger, and hybrid sequencing applications, including automated quality control, assembly, variant analysis, exception handling, and results delivery.
• Apply AI and machine learning to automate workflow orchestration, data interpretation, quality assessment, troubleshooting, summarization, and continuous platform improvement.
• Partner across informatics, laboratory, quality, and commercial teams to define requirements, prioritize capabilities, integrate instruments and systems, and scale scientific workflows into supported digital products.
• Create and maintain platform architecture documentation, workflow specifications, validation records, operating procedures, release documentation, and user guidance.
• Maintain expertise in workflow architecture, sequencing technologies, vector biology, synthetic biology, AI, bioinformatics, and scientific software engineering

Skills

Python

R

Bash

Linux

NGS workflows

Version control

Education

PhD (bioinformatics etc.)

Master’s degree + experience

Tools

GenBank formats

Job description

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

Bioinformatician

Location: South Plainfield, NJ

Position Title: Bioinformatician

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 seeking a collaborative Bioinformatician to design and develop a next-generation scientific workflow platform that integrates sequencing data, synthetic biology expertise, public biological knowledge, and AI-enabled analytics. This role will translate scientific and operational requirements into scalable, reusable workflows, analytical services, and self-service capabilities for plasmid and viral vector applications. Working across scientific, laboratory, software, quality, product, and client-facing teams, the successful candidate will establish robust platform architecture, automate data processing and interpretation, and deliver validated solutions that improve consistency, scalability, traceability, and scientific decision‑making.

Responsibilities

• Design and implement reusable algorithms, services, and workflow components to evaluate sequence designs, construct risks, manufacturability, and functional performance.
• Build configurable analytical frameworks that integrate public scientific resources, proprietary algorithms, and standardized decision rules to support sequence and vector design workflows.
• Develop customer‑facing analytics, visualizations, APIs, and self‑service tools that expose platform capabilities and turn biological data into actionable insights and recommendations.
• Architect, develop, validate, and maintain scalable workflows for long‑read, short‑read, Sanger, and hybrid sequencing applications, including automated quality control, assembly, variant analysis, exception handling, and results delivery.
• Apply AI and machine learning to automate workflow orchestration, data interpretation, quality assessment, troubleshooting, summarization, and continuous platform improvement.
• Partner across informatics, laboratory, quality, and commercial teams to define requirements, prioritize capabilities, integrate instruments and systems, and scale scientific workflows into supported digital products.
• Create and maintain platform architecture documentation, workflow specifications, validation records, operating procedures, release documentation, and user guidance.
• Maintain expertise in workflow architecture, sequencing technologies, vector biology, synthetic biology, AI, bioinformatics, and scientific software engineering.

Required Qualifications

• PhD in bioinformatics, computational biology, genomics, molecular biology, biostatistics, computer science, or a related field preferred; candidates with a master's degree and relevant experience may also be considered.
• Experience designing and developing automated NGS and long‑read analysis workflows, including assembly, polishing, structural variant analysis, quality control, exception handling, and support for FASTQ, FASTA, BAM/CRAM, VCF, BED, GFF/GTF, and GenBank formats.
• Demonstrated experience translating plasmid or viral vector design principles into reusable computational rules, algorithms, or platform capabilities that evaluate expression, stability, packaging, delivery, manufacturability, and other functional outcomes.
• Strong understanding of molecular biology, genetics, cloning, gene regulation, plasmid and viral vector architecture, and sequence‑to‑function relationships.
• Working knowledge of both short‑read and long‑read sequencing technologies, including their error profiles, strengths, limitations, and appropriate analysis strategies.
• Proficiency in Linux and programming or scripting languages, preferably Python, R, or Bash.
• Experience with version control, collaborative code revie