Clinical Data Management Vacancy at Novartis l Apply Now for Database Development Role
Novartis, a global pharmaceutical leader, is hiring a Senior CDM/DBD for its Hyderabad office. This full-time opportunity invites experienced clinical data professionals to lead data management, coding, and database development for cutting-edge clinical trials. If you’re passionate about data integrity, timelines, and process innovation, this is your moment to lead and make a global impact in healthcare.
About Novartis
Novartis is a leading global pharmaceutical company dedicated to discovering, developing, and providing innovative healthcare solutions to improve and extend people’s lives.
Senior CDM/DBD
Locations: Hyderabad (Office)
Time Type: Full Time
Job Requisition ID: REQ-10058543
Job Description Summary
Provide timely & professional ongoing Management of Data
Management/Coding/CDDRA-Database Development/DAP deliverables and of clinical trial data concerning cost, quality, and timelines for all assigned trials within Clinical Data Management. Ensure consistently high-quality data is available for analysis and reporting. Develop content and redefine training modules into engaging & interactive applications.Job Description
Major Accountabilities:
- Provides DM leadership across assigned trial(s)
- Acts as the Trial Data Manager when needed
- Recognizes and resolves protocol issues
- Leads process and training deliverables within the platform or processes
- Generates study status reports
Key Performance Indicators:
- Achievement of a high level of quality, timeliness, and customer satisfaction
- Adherence to Novartis policy and guidelines
- Customer/partner/project feedback and satisfaction
Minimum Requirements:
Work Experience: Cross-Cultural Experience, Functional Breadth, Project Management
Skills: Clinical Data Management, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Databases, Project Management
Languages: English
Skills Desired: Clinical Data Management, Databases, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Waterfall Model
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