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 Description

Position Title: Bioinformatician

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 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 review, automated testing, reproducible builds, and clear technical documentation for production workflows.
• Strong analytical, troubleshooting, organizational, and written and verbal communication skills.

Preferred Qualifications

• Experience developing production-quality scientific software, workflow platforms, pipelines, APIs, or analytical services and integrating public datasets, biological databases, laboratory systems, and open-source scientific tools.
• Hands-on software development experience across the software development life cycle, including requirements definition, architecture, implementation, testing, documentation, deployment, release management, monitoring, and maintenance.
• Experience designing and optimizing AAV, lentiviral, CRISPR, microbial, or other engineered vector systems, with evidence of linking design choices to experimental performance.
• Experience with modern AI/ML methods and their application to biological data.

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.

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.