Research Data Analyst

Responsiblties:

• Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
• Determine additional data collection and reporting requirements.
• Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine inquiries such as requests for statistics or surveys.

Qualification:

• Master’s degree in biomedical science, information/library science, or informatics.
• Knowledge of ontologies commonly used in biomedicine, Web standards  and common biomedical laboratory techniques.
• Proficiency in data analysis tools and languages such as Python and R. Strong modeling and diagramming skills, including the ability to create detailed data/metadata models.

Key Skills:

• Data visualization.
• Machine learning.
• SQL.
• Communication.
• Critical thinking.
• Data cleansing.
• Problem solving.