3 - 8 years
5 - 9 Lacs
Posted:5 days ago|
Platform:
On-site
Full Time
1. Data validation test script creation: Create necessary validation scenarios needed to ensure checks are functioning as required and document scenarios in the Data Validation Specification(DVS). Document expected results for each testing scenario. Feedback to the clinical Data Scientist (CDS) any ambiguities in logic that require clarification for testing scenario creation. 2. Data validation test script execution: Entry of test data as specified in each testing scenario Compare the result obtained through entry of the test data to the expected result. Re-execute all checks that do not pass to ensure they are actual failure. Document validation failures. For validation failures due to incorrect testing scenarios, update DVS and re-execute testing scenario. Re-execute and document within the DVS validation results for checks that required programming updates. 3. Validation of the SI data set creation process: Enter data into all study visits and forms. Extract data from InForm into SI datasets Generate list of data within InForm Generate list of data contained within SI datasets Compare InForm listing to the SI dataset listing. Document unexpected inconsistencies between listing. Review time slicing specification against the SI data sets to ensure time slicing variables are being accurately populated. Document incorrect/unexpected time slicing variable assignments. Compare the pre-defined variable values as specified in the DVS against the SI data sets. Document inconsistencies
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