- Location
- Hyderabad (Office), India · Mumbai (Office)
- Type
- Full-time
- Department
- Healthcare
- Seniority
- Lead
- Closing date
- Today
- Source
- Workday
Description
Job Description Summary
The Principal Data Scientist is responsible and accountable for managing all Data Management activities using advanced data management tool and techniques with respect to cost, quality and timelines for all assigned projects/trials within a Clinical Program. The position is a key collaborator and strategic partner with stakeholders ensuring that data management activities for the clinical trials are executed efficiently with timely and high quality deliverables (in alignment with the Novartis Clinical Data Quality Statement). Provide active and effective communication to Clinical Trial Teams and other stakeholder groups
Job Description
Key Responsibilities
• Lead functional activities for medium to large-sized projects in phase I to IV clinical studies within the Novartis Global Development Organization.
• Coordinate activities of Data Managers, both internally and externally.
• Make data management decisions and propose strategies at the study or project level.
• Ensure the application of consistent data management processes, increasing standardization and documentation across assigned projects/programs.
• Provide and implement data management solutions, ensuring knowledge sharing.
• Lead process and training deliverables within multiple platforms, franchises, or therapeutic areas, developing strategies for effective training and knowledge retention.
• Represent Data Operations (DO) in all audits and inspections, centralizing and aligning the team in audit preparation, readiness, and response.
Essential Requirements
•Proven experience in clinical data management, data architecture, data governance, data integration, data profiling, data quality, data science, data strategy, and master data.
•Strong project management skills with the ability to manage multiple tasks and projects simultaneously.
•Cross-cultural experience and functional breadth in managing clinical data management activities.
•Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting.
Excellent communication and interpersonal skills to build and maintain effective working relationships with cross-functional teams.
•Proficiency in using data management tools to generate listings for data review and provide these to study teams.
Skills Desired
Clinical Data Management, Data Architecture Development, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Master Data, Waterfall Model