Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$107к-134к/год
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У роли чёткая и содержательная область задач на стыке биоинформатики, геномики и AI, включая развитие платформы и производственных процессов; работа в офисе и узкая специализация могут ограничить гибкость.
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Текст:
Hirify AI/Оригинал
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 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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