Research Compliance and Security Data Analyst

California Institute of Technology; Pasadena (CA); On-site; USD 95,000 - 125,000; Full time

Job summary

California Institute of Technology seeks a Research Compliance and Security Data Analyst to design, build, and operate data-driven, AI-enabled solutions supporting research compliance and security needs. The role strengthens committee efficiency, while identifying and mitigating risks through analytics and automation.

The position collaborates with multiple committees and departments to implement automated workflows, data reporting, and advanced data analytics, delivering timely regulatory and

Qualifications

• Bachelor's degree in science, computer science, data science, information systems, engineering, or related field, plus at least three years of relevant experience.
• Proficiency in Python, SQL, or JavaScript.
• Hands-on experience applying AI/machine-learning tools to real-world data/workflows.
• Sound judgment handling confidential information with privacy in mind.
• Independent, detail-oriented, analytical problem-solver with strong decision-making.
• Working knowledge of applicable regulations and institutional policies.

Responsibilities

• Collect, analyze, and deliver data reports to research compliance committees and Research Security.
• Partner with IMSS and committees to develop scripts, apps, integrations, and automated workflows.
• Apply AI and ML tools to support committee activities and security requirements.
• Coordinate with analysts to maintain screening processes and tools; flag risks for expert review.
• Build risk assessment tools and dashboards for visibility into compliance and security status.

Skills

Python

SQL

JavaScript

AI tools

Data analysis

Education

Bachelor's degree (science / CS / data science / information systems / engineering)

Tools

Microsoft 365

Databases

APIs & system integration

Job description

The Research Compliance and Security Data Analyst at Caltech designs, builds, and operates data-driven, AI-enabled, and web-based solutions that support research compliance and security needs. The position strengthens committee efficiency and quality while helping identify and mitigate research security risks through analytics and automation.

Responsibilities

• Collects, analyzes, and delivers institute data reporting to research compliance committees and Research Security, including IACUC, IBC, RSC, IRB, ESCRO, and related functions.
• Partners with IMSS and research compliance committees to develop scripts, applications, integrations, and automated workflows supporting IACUC, IBC, RSC, IRB, and ESCRO/SCRO.
• Applies AI and machine learning tools (such as large language models, natural language processing, and document classification) to support committee activities and research security requirements.
• Coordinates with IMSS, COI, and Export Compliance Analysts and Managers to maintain research security screening processes and tools, including structured intake of disclosures, collaborator and affiliation checks, and screening against restricted party, export control, and sponsor lists; flags potential risks for expert review.
• Builds risk assessment and mitigation tools, including data-driven risk indicators, mitigation plan tracking, and dashboards that provide visibility into compliance and security status for the Associate Vice Provost for Research Policy and Compliance and committee leadership.
• Analyzes compliance and security datasets to identify trends, gaps, and process improvements; prepares regulatory, sponsor, and institutional reporting and renewal documentation with accuracy and timeliness.
• Provides documentation and technical support to compliance staff, committee members, and investigators for new tools and automated processes.
• Maintains the Office of Research Policy, Research Compliance, and Research Security website and associated resources.
• Monitors developments in AI, research compliance and security technology, and applicable federal, state, and local regulations, then recommends updates to tools, policies, and procedures.
• Supports the Associate Vice Provost for Research Policy and Compliance/Institutional Official with additional compliance requirements as needed.

Required Qualifications

• Bachelor's degree in science, computer science, data science, information systems, engineering, or a related field, plus at least three years of relevant experience.
• Demonstrated proficiency in at least one programming or scripting language (e.g., Python, SQL, JavaScript).
• Hands-on experience applying AI tools or machine learning methods to real-world data or document workflows.
• Sound judgment handling confidential and sensitive information, with attention to privacy and data protection.
• Independent, detail-oriented, reliable approach with strong analytical, problem-solving, and decision-making skills.
• Working knowledge of federal, state, and local regulations and institutional policies relevant to research compliance and research security.
• Excellent communication skills (verbal and written), including explaining technical concepts to faculty, committee members, and administrators.
• Strong organizational and project management capabilities, including managing multiple projects with minimal supervision.
• Strong computer skills, including experience with Microsoft 365 and use of databases or protocol management systems.

Technologies

• Python
• SQL
• JavaScript
• AI
• Machine learning
• Large language models
• Natural language processing
• Document classification
• Microsoft 365

Preferred Qualifications

• PhD in cognitive science, computer science, data science, information systems, engineering, or a related field, or professional certification in research administration, compliance, or information security (e.g., CRA, CIP, CCEP, CISSP, CIPP).
• Experience supporting or administering research compliance functions at a university or research institution (e.g., IACUC, IBC, IRB, ESCRO/SCRO), or in a research security or export controls office.
• Experience with electronic protocol or compliance platforms (e.g., Caltech's PAS, Huron, Cayuse, iRIS, Kuali, or similar), APIs, and system integration.
• Experience with prompt engineering, retrieval-augmented generation, and evaluation of AI systems, including responsible AI, model governance, and data privacy practices.
• Familiarity with the CITI online training platform.

Location and Work Setting

Pasadena, CA (onsite)