Overview

The Research Resources IT Systems Analyst plays a crucial role in supporting software applications, data and critical infrastructure needs within the laboratory animal research environment at Princeton University.

Under the direction of Assistant Chief Information Officer and the Associate Director, Research Systems and Critical Infrastructure, the position will provide IT support to ensure the optimal operation and reliability of critical systems, devices and applications used in laboratory animal research.

This role will collaborate with researchers, animal care staff, and IT professionals within the Office of the Dean for Research as well as in the Office of Information Technology at Princeton University and external vendor teams, to maintain, troubleshoot, and enhance technology solutions that support research activities while ensuring compliance with regulatory standards.

This is a dynamic role that spans multiple buildings on and off campus.

This position is a hybrid role.

Responsibilities

Critical Infrastructure Support and System Administration:
- Provide support for critical infrastructure and animal life and safety IT systems used in laboratory animal research, including animal management software, environmental monitoring systems, and specialized research equipment interfaces.
- Collaborate with internal and external stakeholders to support technology roadmaps, infrastructure changes and software upgrades to meet the evolving needs of laboratory animal research.
- Participate in activities related to University Critical Infrastructure groups such as CI Infrastructure Change Management and CI – Service Now User Groups.
- Assist with ASR reviews and IT security/resiliency discussions and reviews related to LAR systems.
- Leverage ServiceNow and other University standard tools and procedures for change, incident and asset management and Critical Infrastructure categorization of services.
- Stay updated on industry trends and keep relevant technical certifications to align with best practices in laboratory animal research IT management.

Software Application Support:
- Manage and support software applications used in laboratory animal research operations, ensuring their reliability, security, and compliance with regulatory standards.
- Maintain user accounts and ensure system access controls are properly configured.
- Serve as technical subject matter expert and administrator for running software applications for laboratory animal operations. This includes access management, integrations management, upgrades, and reporting aspects of the system.
- Support departmental processes to meet external and internal compliance requirements for laboratory animal research systems.
- Partner with OIT and vendors in the support, extension and upgrade of the software applications.
- Develop and support in-house technology and inventory systems used in laboratory animal research as needed.
- Participate in the implementation of new technology solutions for laboratory animal research.

Desktop/Computing Support:
- Provide technical support for desktops, laptops, mobile devices, printers, scanners and other electronic equipment used in laboratory animal research settings.
- Ensure alignment with departmental procedures for IT systems and hardware.
- Facilitate the management of IT equipment in compliance with institutional policies and regulatory requirements using systems such as ServiceNow.
- Help inform recommendations regarding hardware/software configurations and technology procurement decisions.
- Coordinate technology maintenance and support activities with other departments and external vendors as needed by the Laboratory Animal Resources department.
- Provide inputs to help manage contracts with application vendors and oversee the installation, upgrades, and servicing of Laboratory Animal Resources software applications.
- Ensure appropriate user documentation is available for laboratory animal research systems and applications.
- Serve as the liaison between the Laboratory Animal Resources department and the institution's IT and other campus departments as well as vendor teams.

Data Analysis, Reporting, and AI Support:
- Contribute to the development of data models, ETL packages, and business intelligence reports to support organizational initiatives and enable data-driven decision-making.
- Actively participate in the implementation of emerging technologies, with a focus on AI capabilities and automation solutions.
- Maintain up-to-date technical knowledge of AI infrastructure, tools, and frameworks to ensure alignment with industry best practices.
- Collaborate in architecture and security reviews of systems involving integrations, data analytics platforms, and AI technologies to ensure compliance and operational integrity.

Qualifications

• Bachelor's degree in information technology or a related field.
• 5+ years of experience in providing IT support in a research or laboratory environment.
• Demonstrated experience in supporting diverse IT services and systems.
• Strong communication, project management, and documentation skills.
• Knowledge of AI, cybersecurity, data protection, programming/scripting, and backup systems.
• Experience in training technical and non-technical end-users.
• Ability to work independently and manage multiple priorities effectively.
• Willingness to stay updated on emerging technologies relevant to laboratory animal research.
• Availability for 24/7 support and response to emergencies as needed.

Preferred Additional Qualifications:

• Certifications in Microsoft and Apple products preferred.
• System analyst or developer experience
• Knowledge of laboratory IT systems
• Experience with Higher Education IT systems
• Experience with AI infrastructure and systems

Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

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