Engineer, IT Lab Support

Here's What You'll Do

• Serve as a technical owner for computer hardware and printers used in laboratory systems across multiple platforms within Research and Technical Development.
• Manage the complete lifecycle of laboratory computer hardware and operating systems, including configuration, upgrades, patching, hardware refresh, and retirement.
• Manage the lifecycle of laboratory instrument controller systems and associated client hardware, including operating system upgrades, vendor coordination, hardware refresh activities, and cybersecurity hardening.
• Ensure laboratory systems consistently meet defined performance, availability, security, compliance, scalability, and interoperability requirements.
• Support and maintain backup, disaster recovery, and business continuity strategies for laboratory systems.
• Track incidents and service requests and develop and maintain high-quality knowledge-base documentation.
• Provide advanced technical support for complex laboratory technology issues and lead structured root-cause analysis.
• Support Change Management activities in alignment with Moderna IT governance standards.
• Support data integrity, traceability, and secure data flows across laboratory systems and platforms.
• Support data governance initiatives and master data harmonization efforts.
• Identify opportunities to streamline laboratory workflows, reduce technical friction, and enhance the experience of scientists and other laboratory users.
• Contribute technical expertise to digital laboratory strategy and roadmap development.
• Serve as a trusted technical advisor to laboratory and digital stakeholders, translating scientific workflows and business requirements into scalable engineering solutions.
• Partner closely with laboratory scientists, lab administrators, IT infrastructure teams, cybersecurity teams, and external vendors.
• Partner with Cybersecurity to implement secure architectures for laboratory networks and technology deployments.
• Remain technology-agnostic and solution-oriented when evaluating platforms, hardware, architectures, and engineering approaches.
• Apply systems thinking across standalone laboratory systems and enterprise platforms to improve reliability, interoperability, maintainability, and long-term scalability.
• Mentor junior engineers and provide technical guidance while remaining an individual contributor.
• Explore appropriate applications of Generative AI and adjacent digital tools to enhance technical knowledge discovery, incident investigation, documentation, workflow optimization, and engineering productivity.

Here's What You'll Bring to the Table (Preferred Qualifications)

• Experience supporting hybrid laboratory environments spanning instrument-connected on-premises systems (including virtualized infrastructure such as VMware) and cloud-based platforms (e.g., AWS).
• Familiarity with GxP-regulated laboratory environments and computer system validation (CSV) practices.
• Experience working directly with laboratory instrument vendors to evaluate compatibility, coordinate upgrades, and resolve integration constraints.
• Familiarity with research data lifecycle management, including raw data management, data capture, metadata standards, traceability, and reproducibility considerations.