Senior RWE Research Analyst

As a Senior Real-World Evidence (RWE) Research Analyst at Novartis, you will be responsible for providing scientific leadership and methodological oversight for observational database analytics and RWE projects. Your role will involve owning study design, protocol development, scientific interpretation, and communication with stakeholders, working closely with Scientific Data Analysts who handle technical programming and data extraction. Your efforts will ensure that evidence generation activities are scientifically rigorous, aligned with organizational objectives, and translated into actionable insights for medical affairs stakeholders.

Your major responsibilities will include:

• Leading the scientific design of observational studies, defining research questions, study populations, exposure/outcome definitions, and analytical approaches
• Developing and owning protocols, statistical analysis plans, and analysis specifications for RWE projects, ensuring methodological rigor and alignment with internal standards
• Conducting study feasibility assessments, evaluating data source appropriateness, and defining codelist specifications and variable definitions for data analysts
• Serving as the scientific point of contact for assigned RWE projects, coordinating timelines and deliverables with team members
• Interpreting analytical results within the clinical and scientific context and translating findings into actionable insights for stakeholders
• Conducting scientific quality review of study outputs, focusing on clinical interpretation, methodological soundness, and alignment with objectives
• Mentoring junior research analysts on scientific methods, study design principles, and stakeholder engagement
• Partnering effectively with Data Analysts and supporting team members in scientific processes and methodologies

Qualifications Required:

• Bachelors degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics, or equivalent, with 5+ years of research experience in the pharma industry or related discipline
• Masters degree with 3+ years of experience or PhD with 2+ years of experience in a relevant field
• Experience in analytics, statistical applications, and programming knowledge in R, STATA, or WinBUGs is a plus
• Strong background in applied statistics and experience in analyzing observational data using statistical methods
• Understanding of organizational processes and ability to work cross-functionally with internal stakeholders
• Excellent project management, communication, and team collaboration skills

About Novartis:

Novartis is committed to reimagining medicine to improve and extend peoples lives. By joining Novartis, you will be part of a mission-driven company that values diversity, inclusion, and innovation. Embrace the opportunity to work with a community of smart, passionate individuals dedicated to creating breakthroughs that positively impact patients lives.

To learn more about Novartis and explore career opportunities, visit: https://www.novartis.com/about/strategy/people-and-culture

Novartis is dedicated to fostering an inclusive work environment and building diverse teams that reflect the patients and communities they serve. If you are interested in staying connected with Novartis for future career opportunities, join the Novartis Network: https://talentnetwork.novartis.com/network As a Senior Real-World Evidence (RWE) Research Analyst at Novartis, you will be responsible for providing scientific leadership and methodological oversight for observational database analytics and RWE projects. Your role will involve owning study design, protocol development, scientific interpretation, and communication with stakeholders, working closely with Scientific Data Analysts who handle technical programming and data extraction. Your efforts will ensure that evidence generation activities are scientifically rigorous, aligned with organizational objectives, and translated into actionable insights for medical affairs stakeholders.

Your major responsibilities will include:

• Leading the scientific design of observational studies, defining research questions, study populations, exposure/outcome definitions, and analytical approaches
• Developing and owning protocols, statistical analysis plans, and analysis specifications for RWE projects, ensuring methodological rigor and alignment with internal standards
• Conducting study feasibility assessments, evaluating data source appropriateness, and defining codelist specifications and variable definitions for data analysts
• Serving as the scientific point of contact for assigned RWE projects, coordinating timelines and deliverables with team members
• Interpreting analytical results within the clinical and scientific context and translating findings into actionable insights for stakeholders
• Conducting scientific quality review of study outputs, focusing on clinical interpretation, methodological soundness, and alignme