Dotmatics
scientific research
EngineeringManager-Graphpad
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Engineering Manager - Graphpad at Dotmatics. Skills: React, Agentic engineering, Mentorship, Communication. Leading engineering teams. Mentoring junior engineers”
Industry & Context.
Navigating competing technical approaches
What They're Looking For.
Must Have
Hands-on experience with React and component-based architecture, Familiarity with React frameworks such as Next. js or Gatsby, Comfortable with relational and non-relational databases (e. g. PostgreSQL, MySQL, MongoDB), Knowledge of modern deployment practices: Docker, Kubernetes, CI/CD pipelines, Security-conscious: you think about auth, data protection, and attack surfaces as part of normal development, Experience with application performance monitoring and observability tools (e. g. Sentry for error tracking, Grafana for logs and system metrics), Agentic engineering experience, Hands-on experience using AI-assisted or agentic coding tools (e. g. Claude Code, Cursor, GitHub Copilot Workspace, or similar), A natural mentor: you get genuine satisfaction from seeing junior engineers level up, A good listener: you make space for other perspectives before forming conclusions, Calm under pressure and skilled at navigating disagreements — between people or between competing technical approaches, written and spoken English: you can explain complex technical ideas to both engineers and non-engineers
Nice to Have
Experience with security and data protection standards (e. g. ISO 27001, SOC 2, GDPR), Prior experience with high-traffic, high-availability applications, Experience going beyond autocomplete — using agents for code generation, refactoring, test writing, or multi-step task automation
What You'll Do.
Leading engineering teams
Mentoring junior engineers
Navigating technical disagreements
Developing scientific software
How You'll Work.
Team & Collaboration
Collaborative, global team environment; Fosters high integrity and collaboration; Making space for other perspectives; Navigating disagreements between people
Communication Scope
Explaining complex technical ideas to both engineers and non-engineers; Written and spoken English
Full Job Description
Our Why At Dotmatics At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R strong TypeScript Hands-on experience with React and component-based architecture Familiarity with React frameworks such as Next.js or Gatsby Comfortable with relational and non-relational databases (e. g. PostgreSQL, MySQL, MongoDB) Knowle
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