biostatistics podcast by Jocelyn Chen

What are gene therapies? What are some recent advancement in gene therapy? How does development in gene therapy differ from common drugs?

What is it like to work as a statistical methodologist in the industry? What is the importance of being collaborative and building leadership skills in the industry? How does "over-preparing" get you far in your career?

What is it like to work as a statistician in the UCLA department of medicine statistics core? How do biostatisticians contribute to public policy making? What are some typical methods that are used in longitudinal studies?

How can AI and machine learning be applied to clinical trial designs? What are some interesting applications of AI in health? With AI and machine learning being the hot topic, what are some skills or background you need to succeed in the field?

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?

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?

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?

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?

What's the difference between epidemiology and biostatistics? What do epidemiologists support in a consulting company? How to build a start-up with your statistical knowledge?

What are the differences between early phase trial design and late phase trial design? What are some common assumptions for early trial designs? What are some challenges for statistics nowadays?

How will the biostatistics industry evolve in the coming years? Is SAS still an important skill recruiters look at when hiring for a biostatistics related job?

Can you do research while being in a industry setting? How do people do science in real world ? What are some technical and cultural difference between statistics and machine learning?

How are real world evidences generated, collected and used for health economics assessment? What are some biostatistics related roled within life science consulting? How will the life science consulting industry potentially evolve in the future?

How can statistics aid research about health effects of air pollution and climate change? What is the underlying difference between data science and statistics? What is the Harvard data science initiative?

What is value of information in health research? How do they inform policy changes? How does Bayesian inference help with designing innovative clinical trials? Anna Heath will answer all these questions for you.

What are some differences between biostatisticians in hospitals and the pharma industry? What are some specific skill sets required for these jobs? And how can Bayesian framework be used in benefit-risk assessment of new medical products or interventions? Carl DiCasoli will answer all these questions for you.

Ahoy! I am Jocelyn Chen, your host for the Biostatistics Podcast. We are here to bring you the most insightful Biostatistics related content.