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4 дня назад

Product and Validation Engineer (Life Sciences)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
China
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
Product and Validation Engineer (Life Sciences): Developing and validating instruments, automated workflows, and application protocols for organoid culture, synthetic biology, and spatial omics with an accent on functional performance testing, customer use cases, and quality-system traceability. Focus on designing application-level verification plans, analyzing biological and instrument data, troubleshooting cross-functional issues, and translating field feedback into product improvements.

Location: Shanghai, China

Company

hirify.global develops science and technology solutions with customers worldwide to address complex challenges and support real-world applications of science.

What you will do

  • Develop and execute application-level verification and validation plans, protocols, and reports for organoid culture, synthetic biology, and spatial omics workflows.
  • Test instruments and end-to-end automated workflows for functionality, performance, reliability, robustness, throughput, accuracy, precision, reproducibility, and contamination control.
  • Define acceptance criteria and performance metrics with R&D and product management, track defects, perform root-cause analysis, and verify corrective actions.
  • Operate life sciences instruments and design and optimize application protocols and SOPs for integrated workcells and automated laboratory workflows.
  • Conduct customer demonstrations, beta and site testing, evaluations, training, pre-sales and post-launch application support, and translate VOC and field issues into product requirements.
  • Maintain traceability and documentation, support design reviews and launch readiness, and collaborate with R&D, systems, software, quality, manufacturing, marketing, service, sales, and application teams.

Requirements

  • Bachelor’s or Master’s degree in Biology, Cell Biology, Molecular Biology, Bioengineering, Biomedical Engineering, or a related field.
  • 3+ years of hands-on experience in life sciences laboratories, application support, product testing, or instrument verification. Experience in life science tools or diagnostics is preferred.
  • Practical experience in at least one of organoid or 3D cell culture, synthetic biology, or spatial omics, including spatial transcriptomics, spatial proteomics, or multiplex imaging.
  • Strong learning agility, experimental design, troubleshooting, and the ability to quickly become proficient with new scientific domains, instruments, and software.
  • Proficiency with Excel, GraphPad, or Python/R for data analysis and statistical evaluation of performance data.
  • Excellent cross-functional communication and collaboration skills, including the ability to work across R&D, quality, product management, and commercial teams in a matrix organization.
  • Strong customer-facing skills and the ability to explain technical results clearly to customers and internal stakeholders.
  • Good written and spoken English.

Nice to have

  • Experience with laboratory automation platforms, integrated workcells, or high-content imaging systems.
  • Experience with product verification and validation in a regulated or design-controlled life sciences, IVD, or medical-device environment.
  • Familiarity with bioinformatics or image-analysis tools, including spatial omics analysis pipelines and AI-based cell segmentation.
  • Experience with beta testing, customer evaluations, or field application support.
  • Willingness to travel to customer sites and experience working with cross-site or global teams.

Culture & Benefits

  • Cross-functional collaboration across R&D, systems, software, quality, manufacturing, marketing, service, sales, and application teams.
  • Work aligned with design control, quality-system, laboratory safety, biosafety, GLP, and ISO-aligned QMS requirements.
  • Opportunities to learn emerging organoid, synthetic biology, spatial omics, and AI-enabled laboratory automation technologies.
  • Contribution to validation-method standardization, reusable validation assets, automation, and knowledge transfer.

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