Job
Description
The Principal Real World Evidence (RWE) Research Analyst is responsible for the scientific and methodological aspects of all RWE projects as we'll as providing guidance for other team members. Key Responsibilities: Produce analytic results including full study reports for RWE or observational database analyses projects. 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 Data Scientists. Appropriately supervise communications with the customer as we'll as project related decisions taken. Conduct observational data analyses involving new creative approaches and supervise data management and statistical programming activities. Handle the outsourcing of programming activities from Data Science to an approved vendor in accordance with Scientific Services vendor management procedures. Provide guidance to conduct data quality reviews with detailed documentation. Present research and analysis results to customers and partners. Collaborate with RWE Center of Excellence (CoE) to drive quality and accuracy of results; constant improvements on systems, processes and quality matrices that contribute to existing solutions. Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and aligning 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. Seek out opportunities for the development of new RWE services and new customers within Novartis. Maintain familiarity with technical developments in RWE, epidemiological and data science fields. Commitment to Diversity Inclusion: : Essential Requirements: Graduation degree with 8+ years conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related field within the pharma industry (eg, clinical research, statistics, epidemiology, pricing). masters degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. And 5+ years of proven experience conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related field within the pharma industry. 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. Good understanding of organizational processes. Extensive experience working cross-functionally with key internal partners. Open to experimentation and doing things differently to support creative thinking that leads to practical solutions to healthcare and business challenges. Holds a high standard on quality excellence. Continuously seeking to enhancing standards, technology through expansion of knowledge and training. Support partnership to swiftly and efficiently deliver innovative new products to patients and healthcare providers. High ethical values and standards. Able to speak out, challenge conventional thinking, and stand up for ideas. Experienced in data visualization Desirable Requirements: Ability to work, prioritize, and drive projects independently. Ability to handle multiple projects and partners.
