Job Description

• Review and apply data mappings for customer specific data exports.

• Perform peer review / QC of data export programming.

• Produce data transfers via data export files and/or web services.

• Work with customers to specify data transfer standards and develop/implement software code to automate data transfer activities.

• Provide database programming support for custom reports.

• Perform peer review / QC of custom report programming.

• Create and implement database scripts to correct issues.

• Participate in departmental discussions regarding technical, functional and process improvement.

• Ensure that all project-related programming tasks are completed in accordance with standard practices throughout the lifecycle of the project including, but not limited to:

• Perform data integration configuration, programming, and documentation.

• Process Data Clarification Forms (DCFs).

• Manage and program targeted rules.

• Oversee data outputs for integrity and accuracy.

• Triage, research and provide solutions for identified data issues.

• Communicate progress and roadblocks on programming efforts to internal and external stakeholders.

• Assist junior staff to troubleshoot programming issues.

• Contribute to department knowledge share for common issues, standard processes, guides, etc.

• Bachelor's degree in computer science, software engineering, information technology, informatics, or closely related field (or equivalent experience).

• 6 years of experience as a software developer, database analyst/programmer, or clinical software tester.

• Experience with Snowflake.

• Experience building reports in SSRS, Tableau, or other reporting tools.

• 3 years' experience with programming in Microsoft SQL and/or MySQL.

• 4 years of experience programming in SAS.

• 6 years of experience with Clinical Data Management and clinical development technology solutions.

• Understanding of the clinical trial processes, including common data standards (CDISC) and Study Data Tabulation Model (SDTM).

• Ability to manage competing priorities and can work in a dynamic environment.

• Comfortable writing and troubleshooting complex SQL queries that include PIVOT, Indexing, CTE's, Subqueries, etc.

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