Podsumowanie
About the Role
Major accountabilities:
- Produce analytic deliverables, including full study reports for RWE, observational database or omics data projects.
- Independently draft and edit documents such as high level research proposals, protocols and statistical analysis plans.
- Conduct observational data analyses involving new creative approaches and oversee data management and statistical programming activities.
- Provide guidance to conduct data quality reviews with detailed documentation.
- Present research and analysis results to customers and stakeholders.
- Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and complying with pre-defined project / study standards.
- Perform in-depth research and quantitative and qualitative analysis independently. Provide guidance to Associate RWE Research Analysts and RWE Research Analysts.
- Develop department-level standards, tools and templates.
- Collaborate with Evidence and Launch Excellence (ELE) to drive quality and accuracy of deliverables; constant improvements on systems, processes and quality matrices that add value to existing solutions.
- Help on-board new team members, as appropriate, and complete special projects as assigned.
- Regularly elicit customers' satisfaction levels. Identify service areas requiring attention.
Minimum requirements:
- Experience in the application of statistical methods to the analysis of observational data.
- Technical proficiency in analytical and visualization tools and statistical programming languages such as SAS, R, R/shiny, Tableau, Spotfire, SPSS, STATA, WinBUGs.
- Deep knowledge of RWE data sources and standards such as MarketScan, CPRD, JMDC, Optum, PharMetrics, OMOP.
- Expert in applied statistics. Extensive experience in the application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc. is a plus.
Preferred Qualifications:
- Postgraduate qualification (Masters or PhD) in bioinformatics.
- Publications or presentations in recognized RWE/biomedical journals/conferences highly desired.
- Prior experience working in pharma/biotech/CRO/RWE organizations.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
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Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
