
501 - 1000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Dotmatics is an AI-powered scientific intelligence platform that specializes in data management and workflow automation specifically for multimodal scientific discovery. It facilitates adaptive lab workflows, enhances collaboration across various scientific disciplines, and integrates advanced predictive analytics to accelerate research and development. With a suite of products, including solutions for bioinformatics, cheminformatics, and flow cytometry, Dotmatics supports researchers in making informed decisions, streamlining operations, and driving innovation in drug discovery and materials science.
🕒 June 11
🇬🇧 United Kingdom – Remote
💵 £92.8k - £125.6k / year
⏰ Full Time
🟠 Senior
🔴 Lead
💻 Solutions Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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501 - 1000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Dotmatics is an AI-powered scientific intelligence platform that specializes in data management and workflow automation specifically for multimodal scientific discovery. It facilitates adaptive lab workflows, enhances collaboration across various scientific disciplines, and integrates advanced predictive analytics to accelerate research and development. With a suite of products, including solutions for bioinformatics, cheminformatics, and flow cytometry, Dotmatics supports researchers in making informed decisions, streamlining operations, and driving innovation in drug discovery and materials science.
• Act as the design authority for Luma-based customer solutions • Ensure architectural consistency across multiple customer engagements • Shape functional requirements in collaboration with Scientific Architect and Application Scientists • Design for high availability, resilience, and disaster recovery
• 10+ years of experience with scoping automated scientific workflow-based solutions • Designing enterprise-grade SaaS or hybrid architectures • Advanced understanding of integration patterns, APIs, data pipelines, and distributed systems • Degree in Computer Science, Engineering, or a related technical or scientific field
• Flexible working hours • Professional development opportunities
Apply Now🕒 June 11
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