OverviewJob Description Summary Our Scientists are responsible for providing strong statistical support for contributing towards the design and analyses of real-world evidence studies, including patient preference studies. This includes contributing towards methodology in both areas and utilize your statistical and programming expertise. You may also have opportunities to contribute towards the regulatory context from such studies.Job Description Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people\'s lives. To do this, we are optimizing and strengthening our processes and ways of working. We are investing in new technologies and building specific therapeutic area and platform depth and capabilities - all to bring our medicines to patients even faster. We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together!The RoleOur Scientists are responsible for providing strong statistical support for contributing towards the design and analyses of real-world evidence studies, including patient preference studies. This includes contributing towards methodology in both areas and utilize your statistical and programming expertise. You may also have opportunities to contribute towards the regulatory context from such studies.Key AccountabilitiesDesigning, analyzing, managing non interventional studies (NIS) including Patient Preference Studies (PPS) and collaborating with multiple stakeholders to deliver critical analysesRepresenting the real-world data (RWD) statistical expertise within Global Medical Affairs and Patient EngagementContributing towards any regulatory documents when required for such studiesDeveloping clear and concise study protocols, analysis plans, and reportsProviding scientific direction for and/or directly conducting data analysis, statistical model development, and statistical programming (preferred languages R and/or SASTraining others (through support) on methods and principles relating to RWD studies, including PPSManaging vendors relating to any statistical deliverablesRepresenting Novartis at meetings, internal or external on aspects related to NIS (including PPS)Developing internal processes for design reporting and execution of NIS (including PPS)Keeping abreast of latest methods and looking for opportunities to develop and implement innovative methodologies and evaluating risks and opportunities for NIS/PPS projectsYour experienceMSc Statistics or equivalent with work experience or PhD (in Statistics or equivalent) with work experience with expertise in RWD analysis methodologyHas advanced knowledge of applying statistics and innovative approaches Expert knowledge in a variety of statistical areas.Strong data analytic proficiency R (advanced skills required), other languages a plus (SAS, STATA, or similar programming language)Ability to handle multiple projects successfully with scientific rigorIntellectual curiosity and independence to include the ability to self-start and self-teachProactivity, responsiveness, and the ability to balance shifting priorities to ensure that timelines and objectives are met, and expectations are exceededAble to forge and manage significant relationships with internal and with external stakeholdersFluent in English with strong communication and presentation skills, with the ability to articulate complex concepts to diverse audiences.Why NovartisHelping 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-cultureCommitment to Diversity & InclusionNovartis is committed to building an outstanding, inclusive work environment and diverse team\'s representative of the patients and communities we serve.Join our Novartis NetworkNot the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/networkSkills DesiredAutomation, Biostatistics, Clinical Trials, Computer Programming, Cross-Functional Teams, Data Analytics, Decision Making Skills, Metadata Management, Statistical Analysis #J-18808-Ljbffr