Homeoffice CLIN INFORMATICS SPEC 3 presso University of California, San Francisco

• Contributing to the development, implementation, and maintenance of enhanced infectious disease public health surveillance projects.
• Improving interoperability of CDPH data systems and integrating these solutions with local health jurisdictions (LHJs) and other relevant public health partners to improve surveillance of COVID-19 and other reportable infectious diseases.
• Facilitation of electronic collection, storage, and transfer of data related to testing, vital statistics, or hospitalizations for infectious disease conditions.
• Synthesis and coordination of communicating data to public health partners across multiple data environments, including dynamic dashboards.
• Participating in complex data analysis, database design, and data quality assurance and quality improvement projects.
• Development of applications and tools to facilitate monitoring and access for pipelines and data systems
• Innovating on new solutions to address stakeholder needs

To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (ucop.edu)

Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

• Bachelor's degree in public health, health care information technology, computer science, or related area, and / or equivalent combination of experience / training PLUS either 3 years’ of experience in computer or data pipeline programming and database management, OR 3 years working in public health.
• Strong skills associated with statistical analysis, database management and systems programming, including SQL, R, and/or Python.
• Broadly encompassing or in-depth knowledge of clinical, health systems, health analytics, or public health informatics.
• Thorough 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.
• Strong analytical and critical thinking skills, with the ability to quickly analyze problems, determine appropriate level of intervention, and develop and apply effective solutions, collect and analyze system performance data, and produce substantive reports and analyses
• Strong problem-resolution skills, with the ability to quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner
• Ability to work with senior staff and managers in clinical information technology, health care management, and business analytics, serving as a technical resource and providing advice and counsel on issues of functionality, efficiency, cost-effectiveness, policy, and performance
• Strong ability to communicate complex information in a clear and concise manner both verbally and in writing.

• Master’s degree in computer science, informatics, public health, biostatistics, epidemiology or epidemiology and biostatistics and / or equivalent combination of experience / training PLUS either 1 year of experience in computer or data pipeline programming and database management, OR 1 year working in public health.
• Detail oriented, with proven ability to effectively manage time, see projects through to completion, organize competing priorities, and effectively address complex, urgent issues as they arise
• Strong interpersonal skills, with the ability to collaborate productively, work in a team environment, and to train and support clinical informatics users at all professional and technical levels throughout the medical center
• Strong ability to think creatively to recommend action steps or strategize solutions relative to public health surveillance, epidemiology, informatics, program evaluation, or research.
• Demonstrated proficiency relating to logical data design, data warehouse design, data integration, and data modeling.