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Senior Clinical Data Analytics
1 week ago
This requires an in depth understanding of data programming, testing, data technology, data flow, and data standards
The Clinical Data Analytics Associate collaborates with the Clinical Data Management Associate, Clinical Data Associate and other key stakeholders to deliver standardized reports, dashboards and innovative analytics for use in study deliverables for global clinical trials.
The ideal candidate will have varied experience in electronic data collection technologies, such as Veeva EDC, Medidata Rave, and Oracle InForm, etc., as well as an in-depth knowledge of programming tools as a representative of data and analytics processes across functional initiatives.
Ensure data reporting and analytics are delivered accurately, efficiently and in alignment with study objectives
Provide insights into study level deliverables (i.e
Data Management Plan, Project Plan, database, and observed datasets)
Support submission, inspection, and regulatory response activities.
Increase speed, accuracy, and consistency in the development of reporting and analytic capabilities and deliverables
Partner with Clinical Data Management Associate to deliver data reporting and analytics per business need
Comply with data standard decisions and strategies for a study and/or program
Utilize therapeutic knowledge and possess a deep understanding of the technology to develop data reports and analytics
Continually seek and implement means of improving processes to reduce data reporting/analytics and decrease work effort
Represent Data and Analytics processes in cross-functional initiatives
Actively participate in shared learning across Data and Analytics organization
Work to Increase re-usability of reports and analytics
Quals
Minimum Bachelor s degree in Computer Science, Engineering, Statistics, Technical Science, or related field with 3-5 years of clinical experience in a pharmaceutical, biotech, CRO, or Regulatory agency.
Programming languages - Industry tools and languages like Tableau, PowerBI, Python, SAS, R and Shiny for reporting, metrics, and visualizations along with P-SQL, T-SQL for DBMS.
Quick learner to new trends in technology.
Excellent leadership, communication (written and oral) and interpersonal skills.
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