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Director of Evidence Generation
2 months ago
We are seeking a highly skilled and experienced Director of Evidence Generation to join our team at the Healthcare Businesswomen's Association. As a key member of our Global Medical Affairs team, you will play a critical role in driving the development and implementation of evidence strategies that deliver innovative and scientifically robust evidence to Therapeutic Areas (TAs) for Novartis.
Key Responsibilities:- Act as a thought-leader and internal change agent on matters pertaining to the overall creation and implementation of Real World Evidence / Integrated Evidence strategies and tactics.
- Ask the right scientific questions, understand the evidence needs to optimize approval, access and clinical adoption of our medicines, and ideate and make recommendations on fit-for-purpose data and integrated evidence solutions.
- Deliver high quality, rigorous, and fit-for-purpose evidence solutions according to Novartis priorities and opportunities to impact patients and society.
- Closely collaborate with internal and external partners ensuring scientific rigor in evidence strategy, study design and analyses.
- Lead or contribute significantly to cross-functional, enterprise-wide and external evidence initiatives as well as to new and innovative data and analytic platforms, methodological approaches and technologies, which enable broader and more effective use of integrated evidence to reimagine medicine.
- Work closely with key countries to develop timely, meaningful and robust evidence to support product value demonstration aligned with local needs (patient access, reimbursement, medical education, and patient advocacy).
- Deep understanding and experience of RWD/RWE to generate scientifically rigorous and impactful evidence, both from prospective and retrospective studies, including secondary data sources.
- Strong understanding of drug development with proven ability to identify and deliver impactful evidence from retrospective and prospective studies to optimize regulatory approval, market access and clinical adoption.
- Strong cross-functional experience working with Clinical Development, Commercial, Market Access, HEOR, Medical, Safety, and Regulatory colleagues.
- Deep understanding of and experience with research methodology and statistical methods related to retrospective and prospective clinical data analysis, and observational and/or epidemiological research.
- Demonstrated track record leading and executing research projects using RWD from claims, electronic health records, registries, biobanks, or digital applications, including publications.
- Extensive industry experience generating evidence for assets across different stages of drug development.
- Fluent English (both spoken and written). Additional languages are an advantage.
- Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (Ml), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis.
