aidata analysisproduct validationlife sciencessynthetic biologylab automationspatial omicsorganoid culture
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
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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