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3 дня назад

Bioinformatician (AI)

107 000 - 134 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Bioinformatician (AI) (Genomics/Sequencing): Designing and developing a next-generation scientific workflow platform for sequencing data, synthetic biology, plasmid and viral vector applications with an accent on scalable workflows, reusable analytical services, and AI-enabled interpretation. Focus on automating quality control, assembly, variant analysis, sequence evaluation, customer-facing analytics, and production workflow validation.

Location: South Plainfield, New Jersey, United States

Salary: $107,000–$134,000 annual base compensation

Company

hirify.global by Azenta provides R&D genomics services, including Sanger sequencing, gene synthesis, molecular biology, next-generation sequencing, bioinformatics, and GLP regulatory services, for pharmaceutical, biotechnology, academic, and startup customers.

What you will do

  • Design reusable algorithms, analytical services, and workflow components for sequence design, construct risk, manufacturability, and functional performance evaluation.
  • Build configurable frameworks integrating public scientific resources, proprietary algorithms, and standardized decision rules for sequence and vector design.
  • Develop customer-facing analytics, visualizations, APIs, and self-service tools that convert biological data into actionable insights.
  • Architect, validate, and maintain scalable short-read, long-read, Sanger, and hybrid sequencing workflows covering quality control, assembly, variant analysis, exception handling, and results delivery.
  • Apply AI and machine learning to workflow orchestration, data interpretation, quality assessment, troubleshooting, summarization, and platform improvement.
  • Collaborate with informatics, laboratory, quality, commercial, software, product, and client-facing teams; maintain architecture, validation, release, operating, and user documentation.

Requirements

  • 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, and exception handling.
  • Experience supporting FASTQ, FASTA, BAM/CRAM, VCF, BED, GFF/GTF, and GenBank formats.
  • Experience translating plasmid or viral vector design principles into computational rules, algorithms, or platform capabilities addressing expression, stability, packaging, delivery, manufacturability, and functional outcomes.
  • Strong understanding of molecular biology, genetics, cloning, gene regulation, plasmid and viral vector architecture, and sequence-to-function relationships.
  • Working knowledge of short-read and long-read sequencing technologies, including error profiles, strengths, limitations, and analysis strategies.
  • Proficiency in Linux and programming or scripting; Python, R, or Bash preferred.
  • Experience with version control, collaborative code review, automated testing, reproducible builds, and technical documentation for production workflows.
  • Strong analytical, troubleshooting, organizational, written, and verbal communication skills.

Nice to have

  • Experience developing production-quality scientific software, workflow platforms, pipelines, APIs, or analytical services integrated with public datasets, biological databases, laboratory systems, and open-source scientific tools.
  • Software development experience across 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 and linking design choices to experimental performance.
  • Experience with modern AI/ML methods applied to biological data.

Culture & Benefits

  • Full-time employment in a collaborative, customer-focused environment centered on innovation, accountability, teamwork, and scientific quality.
  • Work involves cross-functional collaboration across scientific, laboratory, software, quality, product, and commercial teams.
  • Azenta is an equal opportunity employer and considers applicants regardless of legally protected characteristics.

Hiring process

  • Applicants unable to complete the application or respond to the opening because of a disability may contact Recruiting@azenta.com for assistance.

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