Creates catalogue of reports to aid data cleaning activities with low to medium complex in scope, but not limited to:
Automate manual checks.
Automate reconciliation and program edit checks for TPV data to ensure quality.
Create tools and repository to minimize data errors at source for collection of lab reference ranges.
Program reports to identify missing pages and detect errors at Subject level.
Create reports to measure metrics that can help assess data cleaning status.
Create visualizations and dashboards to identify discrepancies and trends in EDC and TPV data
Contribute to implementation of cross-functional projects that are part of clinical programming roadmap Collaborates with various teams including data management, development operations, clinical, biometrics and other relevant multi-functional teams supporting clinical trials to deliver end user reporting needsClinical Programmer responsibilities include (but not limited to) design, development, implementation and validation of programs created in SAS/Python/R/SQL or dashboard applications such as PowerBI/Spotfire/MicroStrategy, to process, analyze and report clinical trial data for review by clinical study teams. BachelorS degree or equivalent in computer science, life science or statistics
Good programming skills and Prior experience in SAS /Python /R /SQL. Good skills and Prior experience in business intelligence technologies as Power BI, MicroStrategy
Good understanding of Data Collection and Industry data standards
Prior understanding of EDC systems like Medidata Rave / Inform / Veeva etc
Basic knowledge of clinical development process
Programming : Python/SAS/SQL
Data Visualization and Analytics skills : MicroStrategy / POWERBI or other BI tools
Tools(Desirable) : Exposure towards Saama/ SAS LSAF
Domain (Desirable): Knowledge of Clinical Trail Life Cycle and Data Management