What is medical affairs? Launch and Lifecycle?
How has this area evolved over the last 2 decades?
What is the current state across the industry in terms of the role of statistics in this space?
This is a series of episodes and today’s content is the first episode.
Join Jenny and I while we dive into her career and discuss important points about the following:
- What is Launch and Lifecycle
- How as it evolved in the last 2 decades with respect to
- Phase IV studies
- Observational studies
- RWE
- HTA
- Global vs local positions
- What is the relationship between HTA vs non-HTA areas and collaboration with stakeholders
- Collaboration with the regulatory side
- Involvement in strategic evidence generation
- Number of statisticians/programmers supporting this area
- Organization within or outside of statistics departments
- Outsourcing approaches (strategic parts, RWE and outcomes research, studies, NMA/health economics)
Listen to this episode and share this with your friends and colleagues!
Never miss an episode!
Join thousends of your peers and subscribe to get our latest updates by email!
Get the
Learn on demand
Click on the button to see our Teachble Inc. cources.
Featured courses
Click on the button to see our Teachble Inc. cources.
Jenny Devenport
Director, Biostatistics at Roche
Agile, results-driven, Biostatistics and Health Outcomes Leader with extensive experience in building/ developing teams, encouraging effective cross-functional collaboration, and championing scientific curiosity to improve patient care through rigorous analysis and effective communication. Adept in devising and delivering change management strategies and organizational training to maintain employee motivation and focus in an evolving marketplace. Proficient at articulating and measuring strategic impact of evidence generation and communication initiatives.
Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
