Clinical Informatics Specialist

Job Summary

The Clinical Informatics Specialist (CIS) will work with the Ophthalmology and Urology departments to devise solutions that meet the reporting and analytical needs of the local community of UC Davis Ophthalmology and Urology clinical researchers. They will support clinical research projects by extracting complex datasets from Epic's relational databases as well as other nonproprietary relational databases. The CIS will perform all tasks associated with these data retrieval projects including requirements gathering, data retrieval, curation, validation, secure data delivery and accounting of disclosures.

The Clinical Informatics Specialist will also participate in evaluating and enhancing analytics tools and improving data provisioning processes. Protection of Personal Health Information (PHI) in line with HIPAA standards which may include de-identification of data, are imperative to the role. Work and decisions are reviewed in terms of meeting objectives when performed within the accepted parameters of UCD/UCDH policies and procedures and the general guidelines of the department.

The CIS will adhere to Enterprise Analytics and Data Services (EADS) best practices, including those outlined in the Cogito Tools Playbook, and proactively share assets and methodologies with other EADS teams to support enterprise-wide development of high-quality, reusable analytics across UC Davis Health. The CIS will coordinate with team members, contribute to project design, develop and manage timelines for deliverables, and provide both incremental and final documentation as required.

The incumbent will architect and support data pipelines integrating sources such as RedCAP. Responsibilities include PACS image extraction and data de-identification using AIR. Advanced knowledge of metadata tagging standards and automated quality‑control process development is essential.

May 29, 2026 at 11:59pm. Selection activities may start at any time.

• Obtain Cogito Fundamentals, Caboodle model, Clarity model certification within 6 months of hire.
• Bachelor's degree or equivalent in Computer Science, Health Informatics, Public Health, or Health Care Administration or equivalent experience and/or training.
• Minimum 5 years of experience in the analysis, retrieval and management of clinical data from a healthcare software system.
• Minimum of 1 year of experience working with standardized healthcare codes (e.g., ICD, COT, LOINC, SNOMED).
• Experience with various office software tools such as Microsoft Project, Word, Excel, PowerPoint, and Visio.
• Expertise with various programming languages and software such as SQL, stored procedures, XML, Python, J2EE, VBA, Shell Script, Tableau, Crystal Reports, and Business Objects.
• Familiar with the use of secure file sharing such as SFTP.
• Highly proficient in Structured Query Language (MS SQL and Oracle).
• Working knowledge of Extract, Transform and Load (ETL) applications.
• Highly proficient in Structured Query Language (SQL); experience with query tuning and optimization.
• Excellent analytical skills to develop and/or comprehend complex technical, clinical, research, and fiscal information; ability to absorb information to make timely and sound decisions.
• Demonstrated experience translating customer requirements into technical specifications and documentation.
• Excellent organizational skills to determine and prioritize workload to ensure timely completion of tasks.
• Identify and communicate problems in a collaborative, professional manner. Ability to deal with highly confidential, secured, and financial matters and comply with HIPAA and privacy rules.
• Comfortable working independently with minimal direction in a dynamic and diverse environment.
• Oracle and MS SQL Server experience.
• Advanced interpersonal communication skills to convey highly technical information to all levels of clinical users in a clear and concise manner.
• Ability to use logic and flow diagrams to describe the functional processes of a system that both end‑users and programmers can understand.
• Familiarity with data governance and data stewardship principles and practices.

• EPIC…