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3.0 - 8.0 years
5 - 9 Lacs
Mumbai, Maharashtra, India
On-site
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
Posted 1 week ago
3.0 - 8.0 years
5 - 9 Lacs
Ahmedabad, Gujarat, India
On-site
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
Posted 1 week ago
3.0 - 8.0 years
5 - 9 Lacs
Mumbai, Indore, Pune
Work from Office
Hi, We are hiring for ITES Company for Validation Associate Role. Job description ***Minimum 3 years as Validation Associate is required.*** 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 To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Mumbai ) Type : Job Code # 171 b) To Apply for above Job Role ( Pune ) Type : Job Code # 172 c) To Apply for above Job Role ( Indore ) Type : Job Code # 174
Posted 4 weeks ago
3 - 8 years
5 - 9 Lacs
Ahmedabad, Bengaluru
Work from Office
Hi, We are hiring for ITES Company for Validation Associate Role. Job description ***Minimum 3 years as Validation Associate is required.*** 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 To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Validation Associate Bangalore (Job Code # 173) b) For Position in Ahmedabad Search : Validation Associate Ahmedabad (Job Code # 175)
Posted 1 month ago
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