Executive (Data Analyst), Clinical & Health Informatics Office - Contract

Job Description:

The Challenges

• Conduct program evaluation of rule performance by analyzing data and identifying key performance indicators
• Clean and prepare data sets for analysis by identifying data quality issues, outliers, and errors
• Analyze large datasets to identify patterns and trends, and develop reports and presentations to communicate findings to PI and study team
• Collaborate with the development team to revise the Patient Identification Criteria (PIC) algorithm based on the results of the program evaluation.
• Develop and deploy the PIC algorithm to TTSH, ensuring that it is functional, efficient, and effective.
• Monitor the performance of the PIC algorithm, identify areas for improvement, and make recommendations to study team.
• Develop and maintain data quality dashboards to track performance of data quality measures
• Perform exploratory data analysis and data visualization to identify patterns, trends, and insights
• Develop and implement machine learning algorithms to characterize unstructured data sources e.g. clinical notes
• Run Natural Language Processing (NLP) algorithms on clinical notes
• Use data modeling techniques to support the creation of data-driven decision-making tools
• Collaborate with other study teams to identify and communicate data-related issues and opportunities
• Maintain accurate and up-to-date documentation of data analysis processes and results. 

Requirements

• Trained in information technology and holds a degree (Bachelor, Master or PhD) in Information Technology, Computer Science, or related fields.
• Proven working experience as a Data Analyst with a focus on machine learning and artificial intelligence
• Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, etc. is a plus
• Strong knowledge of statistics, including experience using statistical software such as Python, R, or SQL for analyzing datasets.
• Technical expertise in data models, database design development, text mining and data mining
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Ability to set and meet deadlines
• Ability to work in high-pressure situations
• Reporting and data visualization skills
• Excellent attention to detail