Role OverviewJoin our team to play a key role in leading a health data utility, advancing interoperability, and improving healthcare. Analyze, design, implement, and evaluate information and communication systems that enhance individual and population health outcomes, improve patient care, and increase health data interoperability across care continuum.
What You Will Do
Lead informatics projects, coordinate with internal and external partners, adopt and maintain general understanding of new/relevant informatics methods and advances in the field. Train informatics system users, test system usability, quality and integrity of data, perform data exports and reporting, and evaluate usage and assess overall efficiency of collecting, analyzing, and reporting electronic data.
Why It Might Be a Fit
Must have knowledge in applying controlled medical terminologies, knowledge of SQL, familiarity with R, RStudio, or Python, and knowledge of Tableau, PowerBI, or QuickSight. Must have background in clinical research, analysis, and problem-solving skills, and familiarity with creating and interpreting analytical visualizations as well as leading visualization projects.
Requirements
- Master’s degree or equivalent in Biomedical Informatics, Health Informatics, Bioengineering, or closely related field
- One year of experience in healthcare data warehousing, electronic medical records, health informatics, and/or data preparation and analysis
- Knowledge in applying controlled medical terminologies in at least two of the four primary terminologies (SNOMED-CT, LOINC, CPT, ICD-10)
- Knowledge of SQL
- Familiarity with R, RStudio, or Python
- Knowledge of Tableau, PowerBI, or QuickSight
- Knowledge of clinical information systems
- Technical abilities in common U.S. electronic health record systems
- Ability to resolve complex data questions through effective data analysis
- Knowledge of interoperability and health data standards
- Background in clinical research, analysis, and problem-solving skills
- Familiarity with creating and interpreting analytical visualizations as well as leading visualization projects
]]>