What are win-win situations?
How do we create such win-win situations?
Upon observing on our daily business, we have the tendency to view situations not as win-win but as win-lose. Is it really possible to create these win-win situations?
Today, Justine and I talk about this topic. Win-win is a situation that has the potential to be beneficial to all involved.
We also discuss the following points:
- Examples of career drivers
- The role of your supervisor to help your progress?
- Many larger pharma companies have technical tracks and management tracks. What skills help statisticians move forward on both these tracks?
- What common problems hinder statisticians progressing in their careers and how to overcome or avoid these?
Listen to this episode now and learn more on how to create a win-win situation!
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Justine Rochon
Vice President, Global Head of Biostatistics and Data Sciences (BDS)
Justine is a psychologist and statistician with professional experience in both academia and pharmaceutical industry. From the very beginning of her career, which was almost 20 years ago, she served as lead trial and project statistician in multiple therapeutic areas (oncology, neurology, cardiovascular, metabolism, and obesity). Besides hands-on work in data management, programming and statistics, she provided strategic input to large healthcare interventions and clinical development programs. In addition, she was responsible for all statistical aspects of product maintenance and product optimization as well as market access activities. About 15 years ago, she has started taking management, director and leadership responsibilities. She also discovered her passion for new ways of working and organizational development meanwhile continuing to deliver accurate and valuable data science. Recently, she got certified as Scrum Product Owner and Agile Leader. This finally brought her in today’s position as Vice President, Global Head of Biostatistics and Data Sciences (BDS) at Boehringer Ingelheim. Justine’s group at BI consists of approx. 450 statisticians and data scientists located at five sites (in Germany, USA, China, and Japan). They provide the ideal combination of the business expert knowledge needed in clinical development with skills needed in data science.
Besides her daily work in a pharmaceutical company, Justine shares her knowledge and professional experience from academia and industry with others. She is a lecturer of ‘Clinical Trials’ in the Master of Biostatistics at the University of Heidelberg as well as a lecturer of ‘Market Access and Health Economics’ in the Pharma MBA at the Goethe Business School and House of Pharma & Healthcare in Frankfurt, Germany. In addition, she has been active in the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI). Currently, she serves as EFSPI Council/Board member and is chair of EFSPI Statistics Leaders.
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.
