Job Description

About the roleLocation: #LI-HybridAbout this role:
The Principal Real World Evidence (RWE) Research Analyst is responsible for the scientific and methodological aspects of all RWE projects as well as providing guidance for other members of the team.Your Responsibilities:
Your responsibilities include, but not limited to:

• Produce analytic deliverables, including full study reports for RWE or observational database analyses projects.
• Support project management by coordinating project activities and timelines as well as issue management.
• Independently draft and edit documents such as high level research proposals, protocols and statistical analysis plans.
• Develop project timelines together with the Real World Evidence (RWE) Scientific Data Analyst.
• Appropriately track communications with the customer as well as project related decisions taken.
• Provide guidance to less experienced analysts on study design and analysis activities.
• 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.

Role RequirementsWhat you\'ll bring to the role:

• Bachelor\'s degree plus 8+ years conducting research in the pharma industry , or Master\'s degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar
• 5+ years of experience conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry.
• Prior experience working in pharma/biotech/CRO/RWE organizations.
• Experience in the application of statistical methods to the analysis of observational data. \xc2\xb7 Technical proficiency in analytical and visualization tools and statistical programming languages such as SAS, R, R/shiny, Tableau, Spotfire, SPSS, STATA, WinBUG
• 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.
• Good understanding of organizational processes. Extensive experience working cross-functionally with key internal stakeholders.
• Fluent in Japanese or Mandarin Language is a must.

Why Novartis?
Our purpose is to reimagine medicine to improve and extend people\'s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Learn more here: https://www.novartis.com/about/strategy/people-and-cultureJoin our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/networkFunctional AreaMarket AccessDivisionOperationsBusiness UnitGlobal Business SolutionsEmployment TypeRegularCommitment to Diversity & Inclusion:Novartis is committed to building an outstanding, inclusive work environment and diverse team\'s representative of the patients and communities we serve.Shift WorkNoEarly TalentNo

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