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JOB SUMMARY Please note: This is a fully-remote position. The California Department of Public Health Center for Infectious Diseases Informatics Branch (IB) is recruiting for an Informatics Specialist IV to join an exciting team developing innovative solutions to strengthen CDPH's public health data ecosystem. The incumbent will join the team leading the design and implementation of disease prevention and control activities related to reportable communicable diseases. Responsibilities will include the following:
Applying advanced professional public health informatics concepts and extensive knowledge of industry practices to projects of all levels of scope and complexity. Leading project teams in developing innovative informatics and public health data collection, monitoring, management, and analysis systems. Identifying and implementing strategies for integrating multiple data systems and improving existing public health surveillance data systems and infrastructure. Conducting complex database design, data quality assurance, and quality improvement projects. Developing protocols and guidelines and providing information and technical assistance to support local health jurisdiction and other CDPH program partners in data modernization. Act as a technical lead to other informaticists, epidemiologists, and data analysts. Additionally, this position requires strong programming (R, SQL, and/or Python) and/or informatics knowledge to support data analysis, database design, and data quality assurance and quality improvement projects. The position will interact and collaborate with several multidisciplinary CDPH teams as well as other internal and external partners as they contribute to communicable disease projects.
Required Qualifications:
- Bachelor's degree in public health, health care information technology, computer science, or related area, and / or equivalent experience / training.
- 5+ years of experience in computer or data pipeline programming and database management, OR 5+ years working in public health
- Advanced skills associated with statistical analysis, data transformation or linking, data visualization, or data systems programming using programming languages including SQL, R, and/or Python .
- In-depth knowledge of all relevant clinical or public health informatics software and systems, and of the highly-complex concepts, principles, policies, methodologies, techniques, best practices, regulations, and standards practices involved with health systems, health analytics, public health surveillance or electronic medical data management.
- Advanced organizational and project management skills, with the ability to lead a project team, prioritize tasks, and see projects through from inception to completion on schedule.
- Ability to apply advanced problem-resolution skills to highly complex issues, quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner.
- Advanced ability to serve as a technical leader and information resource, and to work collaboratively with senior staff and management across departments, providing advice, counsel, and analysis on issues of policy, functionality, system efficiency, upgrades, business analytics, and industry advances and trends.
- Advanced analytical skills and expertise in documentation and reporting, with the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.
- Advanced interpersonal communications skills, to convey highly technical information and instructions to all levels of users and stakeholders in a clear and concise manner, both verbally and in writing, to provide technical support, and to develop and deliver training materials as needed.
- Advanced ability to think creatively to recommend action steps or strategize solutions relative to public health surveillance, epidemiology, informatics, program evaluation, or research.
Preferred Qualifications:
- Master's degree in computer science, informatics, public health, biostatistics, epidemiology or epidemiology and biostatistics and / or equivalent experience / training.
- Doctorate degree in computer science, informatics, public health, biostatistics, epidemiology or epidemiology and biostatistics and / or equivalent experience / training.In-depth knowledge of machine learning, and deployment of predictive analytics in operational environments. Knowledge of pattern recognition, machine learning, and/or natural language processing, clinical workflows, user interface optimization, data integration and mining, clinical ontologies and adoption of technology.
- Demonstrated proficiency relating to logical data design, data warehouse design, data integration, and data modeling.
- Experience with interoperability standards such as Health Level Seven International (HL7) V2.x, V3, IHE profile, Clinical Document Architecture (CDA) and/or Fast Healthcare Interoperability Resources (FHIR).
- Public health domain knowledge is preferred but not required, and may be developed or expanded after hiring
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Required Qualifications:
- Bachelor's degree in public health, health care information technology, computer science, or related area, and / or equivalent experience / training.
- 5+ years of experience in computer or data pipeline programming and database management, OR 5+ years working in public health
- Advanced skills associated with statistical analysis, data transformation or linking, data visualization, or data systems programming using programming languages including SQL, R, and/or Python .
- In-depth knowledge of all relevant clinical or public health informatics software and systems, and of the highly-complex concepts, principles, policies, methodologies, techniques, best practices, regulations, and standards practices involved with health systems, health analytics, public health surveillance or electronic medical data management.
- Advanced organizational and project management skills, with the ability to lead a project team, prioritize tasks, and see projects through from inception to completion on schedule.
- Ability to apply advanced problem-resolution skills to highly complex issues, quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner.
- Advanced ability to serve as a technical leader and information resource, and to work collaboratively with senior staff and management across departments, providing advice, counsel, and analysis on issues of policy, functionality, system efficiency, upgrades, business analytics, and industry advances and trends.
- Advanced analytical skills and expertise in documentation and reporting, with the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.
- Advanced interpersonal communications skills, to convey highly technical information and instructions to all levels of users and stakeholders in a clear and concise manner, both verbally and in writing, to provide technical support, and to develop and deliver training materials as needed.
- Advanced ability to think creatively to recommend action steps or strategize solutions relative to public health surveillance, epidemiology, informatics, program evaluation, or research.
Preferred Qualifications:
- Master's degree in computer science, informatics, public health, biostatistics, epidemiology or epidemiology and biostatistics and / or equivalent experience / training.
- Doctorate degree in computer science, informatics, public health, biostatistics, epidemiology or epidemiology and biostatistics and / or equivalent experience / training.In-depth knowledge of machine learning, and deployment of predictive analytics in operational environments. Knowledge of pattern recognition, machine learning, and/or natural language processing, clinical workflows, user interface optimization, data integration and mining, clinical ontologies and adoption of technology.
- Demonstrated proficiency relating to logical data design, data warehouse design, data integration, and data modeling.
- Experience with interoperability standards such as Health Level Seven International (HL7) V2.x, V3, IHE profile, Clinical Document Architecture (CDA) and/or Fast Healthcare Interoperability Resources (FHIR).
- Public health domain knowledge is preferred but not required, and may be developed or expanded after hiring
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University of California - San Francisco
120,000-123,000
Apr 24, 2026