Data Scientist - PH Epi-PHP-Informatics

Location: Denver, CO

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Job Summary
Under minimal supervision, supports gathering business requirements, identifying data sources, conducting data and statistical analyses, developing systems, and assisting with the visualization and reporting functions of the Denver Public Health (DPH) Department. Responsible for development, implementation, evaluation, data extraction and analysis programming, visualization, and reporting activities related to assigned projects and workgroups. Demonstrates technical and conceptual skills necessary to develop system solutions for Public Health projects using appropriate data systems. Provides support in database design and architecture, database management, and data modeling for the creation and integration of various Public Health data sources. Performs data integration and interoperability through the identification, acquisition, and aggregation of disparate data sets. Participates and supports project lifecycles through project management and process improvement activities. Assists Public Health clinical and administrative staff with complex systems issues related to data analysis and reporting activities. Coordinates relevant efforts with other Denver Health departments when appropriate.


1. Meets with stakeholders to identify business requirements, expected outcomes, and pertinent data sources. 2. Models and establishes business use cases specific to information used in decision-making. 3. Performs project management functions either in a project lead role or in a supporting role. 4. Identifies and performs appropriate data management and analyses for each assigned data request or project. 5. Demonstrates skill in performing statistical analyses. 6. Works with information technology teams, stakeholders, and subject matter experts to locate, evaluate, integrate, and validate new and existing data sources. 7. Designs database structures and data models to facilitate the acquisition, management, integration, and reporting of data and information. 8. Utilizes industry standards and guidelines in developing and designing data models, interfaces, and interoperability between data systems. 9. Works with program managers, program directors, and others to develop analysis requirements and details. 10. Creates and utilizes programs or tools which perform quality assurance reviews to ensure data accuracy and integrity. 11. Performs data visualization, interpretation, and report development. 12. Prepares findings for publications, presentations, and departmental quality improvement projects. 13. Demonstrates skill in utilizing principles and practices of effective and persuasive communication to elicit and/or present explanatory or interpretive information. 14. Reviews data analyses, reports, and visualizations with stakeholders and requestors to ensure outputs meet their needs. 15. Prepares maps using GIS to support public health analyses and messaging when appropriate. 16. Documents business requirements, data requirements, data sources, and programming logic pertaining to data requests. 17. Periodically reviews processes, coding, and requirements for opportunities for improvement and automation. 18. Performs other duties as assigned.
Knowledge, Skills & Abilities
Knowledge, Skills, and Abilities 1. Ability to extract large amounts of data from complex databases and manipulate large datasets. 2. Proficiency and demonstrated experience with data visualization and report writing tools. 3. Demonstrates a good working knowledge of medical and health care terminology and statistical analysis. 4. Ability to determine data appropriateness and to compile data in a meaningful way to enable decision-making. Computers and Technology 1. Advanced knowledge and use of Microsoft Office applications (Word, Excel, PowerPoint). 2. Ability to program statistical and data programs using SQL, SAS, SPSS, or R. 3. Experience with reporting software such as Excel, Tableau, or Crystal Reports, or Microsoft SSRS. 4. Proficiency with SQL and relational database concepts, including primary keys, foreign keys, and joins.
Bachelor’s degree in Health Informatics, Public Health, Science, Epidemiology, Health Services Research, Health Information Sciences, Statistics, Computer Science, or closely related field. Master’s degree preferred. 2. Typically, two (2) or more years of professional experience in a comprehensive health program with data science and health informatics responsibilities that include conducting, managing and/or supporting projects including scientific investigations, information architecture management, and implementing data and information standards.


Work Type
Full time

Pay Range

Minimum: 68,400.00

Midpoint: 85,500.00

Maximum: 102,600.00

All job applicants for safety-sensitive positions must pass a pre-employment drug test, once a conditional offer of employment has been made.

Denver Health is an integrated, high-quality academic health care system considered a model for the nation that includes a Level I Trauma Center, a 555-bed acute care medical center, Denver’s 911 emergency medical response system, 10 family health centers, 18 school-based health centers, Rocky Mountain Poison and Safety, a Public Health department, an HMO and The Denver Health Foundation.

As Colorado’s primary, and essential, safety-net institution, Denver Health is a mission-driven organization that has provided billions in uncompensated care for the uninsured. Denver Health is viewed as an Anchor Institution for the community, focusing on hiring and purchasing locally as applicable, serving as a pillar for community needs, and caring for more than 185,000 individuals and 67,000 children a year.

Located near downtown Denver, Denver Health is just minutes away from many of the cultural and recreational activities Denver has to offer.

We strongly support diversity in the workforce and Denver Health is an equal opportunity employer (EOE).

Denver Health is committed to provide equal treatment and equal employment opportunities to all applicants and employees. As an EOE, Denver Health does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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