Job details
Job type full-time
Full job description
The senior data analyst, as part of the digital patient experience (dpe) program, requires technical acumen for planning, designing, developing, implementing, and administering data-based systems and reporting capacities that acquire, prepare, store and provide access to data and metadata to end-users for monitoring of new products and processes which are designed to improve the patient experience and patient careThe senior data analyst will work with a diverse set of stakeholders to identify, define, and scope solutions that drive digital transformation at ucsf health and the healthcare ecosystem.
In partnership with other dpe team members, the senior data analyst maintains and optimizes new and existing systems and migrates data and systems as neededEnsuring integrity and completeness of data and workflow, the senior data analyst manages and/ or develops data practices, methods, databases, and information systems, as well as guidelines, dictionaries, registries and / or servicesMay include interpretation of scientific research data artifacts as well as mediation across science and technology domains and long-term data care/ quality monitoringAs an information architect and data steward, in partnership with dpe team members, the senior data analyst designs systems, data products and/ or data production processes while focusing on data curation, data exchange, data security, data integrity, quality assurance, and information environmentsThe senior data analyst (re)evaluates frameworks, strategies, standards and standards-making activitiesMay involve work with a project-level data repository, cloud-based storage, a center, or an archive.
In partnership with the larger dpe program team (e.g,, product managers, project managers, technical/ qa teams, clinical leadership, design, etc.), the senior data analyst will engage in the design and execution of analytic and reporting needs for new product design/ pilot effortsIncludes base data design and collection, statistical/ other analytics, database management/ warehousing, and data monitoring/ reporting, guiding the appropriate research methodologies, analytics, and designs for new solution data management, from data capture through to bi tools for monitoring performanceEngage team on understanding data limitations, definitions, and creating meaningful data capture design, reporting, interpreting, data integrity, and database management.
Given our epic ehr is central to patient access and care, this role requires certification in an epic data model.
Involves the development and implementation of the organization`s information systems and tools that are applied to clinical informationWorks closely with clinicians across all hospital / healthcare departments to optimize effective use of systemsCoordinates analytical support for health management, including profiling, health economics, and business analytics / performance metricsDefines systems and applications to support various functionsMay provide customer service, troubleshooting and maintenance.
Department description
Founded in 2012, the center for digital health innovation (cdhi) at ucsf enables, creates, and accelerates digital technology necessary to transform care delivery bringing the right treatment to the right patient at the right timeCdhi collaborates with industry and ucsf scientific innovators to envision and realize new solutions to improve the lives of patients and providersWe bridge emerging technologies and the healthcare ecosystem to enable real change and drive health innovation by bringing bold ideas to life.
Required qualifications
Five (5)+ years’ experience in data analytics or related statistical/ data experience.
Bachelor`s degree in health care information technology, computer science, or related area, and / or equivalent combination of experience / training.
Broadly encompassing or highly in-depth knowledge of key areas of focus in clinical informatics specialty areasKnowledge of controlled terminology, clinical workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology.
In-depth knowledge of all relevant clinical informatics software and systems, and of the highly-complex concepts, principles, policies, methodologies, techniques, best practices, regulations, and standards practices involved with patient care and electronic medical data management in the uc health care system.
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 analytical skills and expertise in documentation and sql reporting, with the ability to apply metrics, design and run sql and other queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.
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.
Familiarity with data quality and governance issues and requirements, especially with hipaa and phi/ pii, in data and database management with appropriate data quality, governance, and security standards and certifications.
Data sourcing using data flow diagraming and data profiling to develop approaches and specifications for sourcing data into target data marts/ databases: includes etl mapping, data modeling, data validation.
Standardizing data infrastructure processes and approaches including etl technologies and mapping standards, data modeling standards, data quality approaches and validation processes, data management for reference and master data, metadata management approaches and standards.
Technical project management including project intake and estimating processes, data team resource planning and management, data infrastructure planning and goals.
Data model development using data science andOr analytic methods along with stakeholder requirements to inform data infrastructure projects on database designs that facilitate data usage, reduce data redundancy, and promote ucsf data governance standards.
Expertise in data management and analytic/ reporting recommendations, standards, and best practices as well as governance technical project management.
Expertise in data analytics, standardization, normalization, and optimization for reporting and monitoring of performance for pilot innovations.
Strong math/stats/analytical background, research study design principles, metadata/ quantitative/ qualitative analytics, and analytical problem-solving skills
Demonstrated ability to work with others from diverse backgroundsDemonstrated effective communication and interpersonal skillsDemonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
Experience working with popular data discovery, analytics and bi software tools like tableau, qlik, powerbi and others for semantic-layer-based data discovery.
Preferred qualifications
Familiar with agile methodologies and capable of applying devops and increasingly dataops principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers.
Understanding of popular open-source and commercial data science platforms such as python, r, knime, alteryx, others is a strong plus but not required/compulsory
Familiarty or experience with ssrs/ssis/ssas, crystal reports, xml, sap, or t-sql.
Knowledge of research and development methods, hpc hardware and software power and performance analysis and research, design, modification, implementation and deployment of hpc or data science or ci applications and tools.
Deep healthcare knowledge or previous experience working in healthcare.
Demonstrable work with patient expeirence data sets (e.g.,hcahps).
Experience working with patient clinical reporting data sets (e.g,Hedis)
About ucsf
At ucsf health, our mission of innovative patient care, advanced technology and pioneering research is redefining what’s possible for the patients we serve – a promise we share with the professionals who make up our team.
Consistently ranked among the top 10 hospitals nationwide by u.sNews & world report – ucsf health is committed to providing the most rewarding work experience while delivering the best care available anywhereIn an environment that allows for continuous learning and opportunities for professional growth, ucsf health offers the ideal atmosphere in which to best use your skills and talents.
Pride values
Ucsf is a diverse community made of people with many skills and talentsWe 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 workforceWe 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 careAdditional information about ucsf is available at diversity.ucsf.edu
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal employment opportunity
The university of california san francisco is an equal opportunity/affirmative action employerAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Organization
Health
Job code and payroll title
006049 clin informatics spec 4
Job category
Support services
Bargaining unit
99 - policy-covered (no bargaining unit)
Employee class
Contract
Percentage
100%
Appointment end date
12-sep-2023
Location
Remote / telecommute
Shift
Days
Shift length
8 hours
