Executive/Senior Executive, NUHS Education
3 months ago
Executive/Senior Executive, NUHS Education & Research Office (2 years contract)
Job Responsibilities:
To leverage data-driven insights and analysis in support of the overall mission and objectives of NUHS, aiming to improve patient care outcomes, enhance operational efficiency, drive innovation, and advance research, thereby contributing to the DataIU's mission of enhancing data-driven healthcare delivery, operational excellence, and research advancement.
You will be responsible for the following areas:
- Data Sourcing and IntegrationAcquire, organize, and integrate diverse healthcare data sources, including EHRs, claims data, clinical trial data, and public health surveillance data.
Ensure accuracy and consistency of data by applying knowledge of coding systems like ICD-10 and utilizing SQL for data querying and manipulation.
Performance Measure: Timeliness and completeness of data integration, accuracy of data queries, and adherence to coding standards. - Statistical Analysis and Insight GenerationConduct advanced statistical analysis, data mining, and visualization techniques to uncover trends, patterns, and insights within healthcare data.
Utilize statistical software packages (e.g., SAS, R, Python) and data manipulation libraries (e.g., pandas, dplyr) to perform analyses.
Performance Measure: Accuracy and reliability of statistical analyses, effectiveness of visualization in conveying insights, and ability to derive actionable conclusions. - Reporting and CommunicationDevelop clear and concise reports, dashboards, and presentations to communicate findings and insights to stakeholders.
Ensure reports are tailored to the audience and adhere to ethical and privacy standards regarding patient confidentiality and data security.
Performance Measure: Clarity and relevance of reports, effectiveness of communication in conveying insights, and stakeholder satisfaction with reporting. - Continuous Improvement and ComplianceContinuously improve data management processes, data quality assessment methods, and reporting methodologies.
Stay updated on ethical considerations and privacy regulations related to healthcare data handling, ensuring compliance with standards such as HIPAA.
Performance Measure: Implementation of process improvements, adherence to ethical and regulatory standards, and contribution to overall organizational efficiency and compliance.
Job Requirements:
- Professional degree in quantitative field such as statistics, mathematics, computer science, epidemiology, public health, or related fields.
- Proficiency in statistical analysis, data mining, and data visualization techniques. Experience with statistical software packages such as SAS, R, or Python for data analysis and manipulation.
- Database Skills: Knowledge of SQL for querying and analyzing healthcare databases.
- Ability to interpret and analyze healthcare data to identify trends, patterns, and insights. Experience in preparing reports, dashboards, and presentations to communicate findings to stakeholders.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., pandas, dplyr) and visualization libraries (e.g., matplotlib, ggplot2).
Tell employers what skills you have
Pandas
Operational Excellence
Public Health
Mathematics
Data Management
Data Integration
Epidemiology
Data Quality
Reliability
Surveillance
Data Mining
Data Science
Visualization
HIPAA
Matplotlib
Data Visualization
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