Life Science : Validation Associate : Max 9 LPA : Apply Now

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