What is it like to work for a statistical consulting company? What are some common paths for statisticians to take in a consulting company? What are some skills needed in a statistical consultancy?

Grace Hsu will answer all these questions for you! Grace got her master's degree in statistics from Simon Fraser University and currently is working in Cytel as an associate Director & Research principal. She has a lot of experience in developing and presenting advanced statistical methods to both statistical and non-statistical audiences and has supported submissions to HTAs and other regulatory bodies. Let's dive into this episode and see what Grace has shared with us!

Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
If you have any comments, feedback, or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast

How to use latent variable models to address differential measurement problems? What are some interesting aging problems that can be addressed by biostatistics? What's the difference between epidemiology and biostatistics?

Karen Bandeen Roche will answer all these questions for you. Dr. Bandeen Roche obtained her Ph.D. degree in operations research and industrial engineering from Cornell University. And she is particularly interested in the development, implementation, and application of models for problems that include underlying or unobservable processes of interest. She focuses on creating statistical reasoning needed to learn how we can lengthen healthy lives and increase independence for older adults. Let's dive into this episode and see what Karen has shared with us.

Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast

What are some important skills that are helpful while doing post-graduate training? What is the trend in academia as Biostatistics gets more and more competitive? How to navigate career choice between industry and academia?

Dr. Jin Jin will answer all these questions for you. Jin Jin received her phd in Biostatistics from the University of Minnesota and now works as an Assistant Professor of Biostatistics at the University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics. With a research focus on integrating large-scale datasets to address cutting-edge problems in public health and medicine, she deals with complex issues such as health equity in disease risk prediction, statistical genetics, and Bayesian hierarchical models for high-dimensional data. Let's dive into this episode and see what Jin Jin has shared with us.

Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast