Summary
About the Role
Major accountabilities:
- Lead statistical programming activities for several studies or drive the implementation of data analytics reports -Make decisions and propose strategies at study or project level.
- May act as functional manager for local associates including providing supervision and advice on functional expertise and processes.
- Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical aspects (timelines, scope, resource plan), e.g. as representative in study or project-level team.
- Ensure project-level standardization -Provide and implement programming solutions; ensure knowledge sharing.
- Act as expert in problem-solving aspects.
- Ensure timely and quality development and validation of datasets and outputs for regulatory submissions/interactions, safety reports, publications, post-marketing activities etc -Leads/co‐leads novel projects within the team -Generates innovative ideas within own team and /or project team /functional community -Recognizes and leverages innovation opportunities for own team across projects -Mentors and inspires others to solve problems -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)
Key performance indicators:
- Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across functional activities and deliverables.
- Adherence to Novartis policy and guidelines -Customer / partner feedback and satisfaction
Minimum Requirements:
Work Experience:
- Biostatistics.
- Clinical Research Phases.
- R&D Portfolio Management.
- Statistical Programming.
- Data Management & Systems.
- Regulatory Submissions.
- Innovative & Analytical Technologies.
- Clinical Trial Design, Data Review & Reporting.
Skills:
- Classification Systems.
- Clinical Trials.
- Computer Data Storage.
- Computer Programming.
- Cross-Functional Teams.
- Data Analysis.
- Data Structures.
- Initiative.
- Programming Languages.
- Reporting.
- Statistical Analysis.
Languages :
- English.
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