Dotmatics
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The Technical Product Solutions Lead will design, develop, and implement configurations for Luma Solutions, focusing on data models, workflows, and user training while ensuring quality and adherence to best practices.
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As a Senior Full Stack Engineer, you'll lead development of features in Node.js/React, maintain data pipelines, and support code quality in a collaborative, innovative environment focused on scientific research.
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Lead and operationalize a company-wide AI governance program: build frameworks, assess AI risks and use cases, embed controls in SDLC, run governance council, liaise with Siemens consortium, handle regulatory compliance (EU AI Act, NIST AI RMF), produce reporting, and deliver training and documentation across Product, Engineering, Legal, Privacy, HR and Security.
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Lead and operationalize Dotmatics' AI governance program: develop frameworks, risk tiering, policies, and training; embed controls into SDLC; liaise with Siemens consortium; respond to customer due diligence; report metrics and drive continuous improvement across security, product, legal, and quality functions.
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Lead architecture and implementation of scalable, secure, serverless and event-driven data pipelines and services in a Node.js/TypeScript ecosystem; mentor engineers, improve reliability, observability, CI/CD, and collaborate on scientific data solutions.
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As a Staff Engineer, you will architect and improve distributed systems in a Node.js environment while mentoring a top-tier engineering team, driving innovations in scientific R&D. Ideal candidates should have extensive experience in SaaS environments, focusing on system reliability and AI integration.
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Lead and deliver complex enterprise SaaS implementation and digital transformation programs for scientific customers. Plan, manage budgets, risks, stakeholders, and cross-functional teams using agile/hybrid approaches. Prepare executive briefings, proposals, and ensure regulatory and contractual compliance while improving delivery processes.
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The HRBP will partner with global teams to support integration within Siemens, enhance employee engagement, manage performance, and ensure HR compliance. Responsibilities include strategy execution, employee lifecycle management, and reporting.
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Design, build, and maintain GraphQL/REST back-ends and responsive React front-ends for multi-brand scientific products. Integrate SaaS services with enterprise systems (ERP, tax, billing), scale shared services, propose architecture, write tests, and ensure accessibility, security, and high code quality.
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Own cloud architecture intelligence and cost optimization: analyze cloud spend, identify inefficiencies, build dashboards, enforce governance, partner with engineering/finance to drive cost-conscious design and operations.
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As a Scientific Product Solutions Lead, you will design and implement solutions using Dotmatics LUMA, focusing on configuring workflows and data modeling with a strong emphasis on collaborating with various stakeholders and ensuring quality in scientific innovation.
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Senior technical authority defining end-to-end lab orchestration architectures that connect digital scientific informatics, data platforms, and physical lab automation. Owns functional and non-functional requirements, integration patterns (Databricks, NiFi, APIs), security, observability, and partner enablement to ensure scalable, compliant, operable lab-of-the-future solutions.
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Develop and prototype statistical methods (sample size, power, adaptive/Bayesian designs, simulation) for nQuery, validate methods with developers, support users, present externally, and produce educational content.
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The Account Executive is responsible for selling Protein Metrics solutions, managing customer relationships, and coordinating sales and marketing efforts with a focus on enterprise deployments in the Mid Atlantic U.S.
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Senior technical authority defining end-to-end architectures for Dotmatics Luma lab orchestration. Design integrations, data pipelines, instrument connectivity, and enterprise interfaces; ensure performance, security, compliance, operability; advise customers and partners; enable delivery teams and Siemens joint engagements.
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Own cloud operational health, architecture intelligence, and cost optimization. Analyze cloud spend, build dashboards/reporting, enforce governance, review architecture for cost impact, and translate technical findings for engineering, finance, and executives.
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Lead a team of engineers to develop GraphQL and REST APIs, mentor junior staff, and ensure application performance and stability while driving technical architecture decisions.
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The Principal Application Scientist at Dotmatics will provide technical leadership and consult customers on SaaS solutions, focusing on data integration and architecture in scientific environments.
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Provide advanced, customer-facing application support for the Dotmatics scientific platform, troubleshoot complex incidents (APIs, databases, core products), manage and prioritize cases to SLA, liaise with product teams, perform root-cause analysis, mentor team members, and maintain support records (Salesforce, JIRA, Confluence).
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Design and configure Luma-based scientific solutions: build data models, registrations, data flows, task templates and visualizations; test and troubleshoot configurations; produce documentation; train users; contribute to best practices and the Solutions roadmap.


