Clinical Data Associate

Primary Responsibilities

• Project Management
• Communication

Minimum Qualification Requirements

• Qualification Requirements

Process Improvement

• Represent clinical data sciences’ processes in cross-functional initiatives.
• Actively engage in shared learning across the Data and Analytics organization.
• Work with partners to increase vendor/partner efficiencies.
• Recommend new or improved processes relating to clinical data management.

Skills and Experience

• Demonstrated ability to effectively partner/influence a virtual team and drive a technical project to deliver positive results.
• Demonstrated ability to lead development of creative solutions to address data-related clinical development challenges.
• Passionate about improving technological solutions using new technologies.
• Working knowledge of programming languages & industry tools such as Tableau, PowerBI, Python, SAS, R and Shiny for reporting, metrics, and visualizations, along with P-SQL, T-SQL for DBMS.
• Experience with the following: Articulating the flow of data (structure and format) from study start-up to analysis and applying this knowledge to data solutions.
• Utilization of clinical/drug development knowledge and an ability to liaise effectively with study team members (i.e., Statistics, PK, Operations, Medical).
• Strong therapeutic/scientific knowledge in the field of research.
• Knowledge of medical terminology.