The Data Standard
Out of the three billion pairs of DNA molecules that make up the human genome, only 0.1% are unique to each person. To find patterns useful to medical research in such a vast sea of data, researchers can benefit from tools that cut through the noise. Fortunately, these are the same problems that big data has been trying to solve for almost a decade. Biotechnology, broadly encompassing technological applications using biological systems, finds itself in similar conditions to those that allowed big data to emerge. As the volume and variety of medical data grow, it becomes more advantageous to refine it into information that can be used to make decisions. Because of the vast quantity of patient data now readily available, ML has now become a valuable tool to model the behavior of drugs and find potential applications for existing and new molecules. Big data is not just in the future of the pharmaceutical industry, it is shaping its present. Data science and AI have a growing role in drug discovery and development. We speak with a leader in data science for health care, Neal Zundell, to learn more.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Sr. Manager, Data Management at Zentalis
I started off in the IT industry and migrated into the world of Clinical trials. My undergraduate IT degree coupled with my MBA allows me to see things from both the technical as well as from the business perspective. I have vacillated between more business oriented and more technically oriented professional positions. Having the knowledge, experience and instincts in each discipline enables me to better excel in the other. As a Manager of Clinical Data services, I regularly apply both my business and technical skills which allows me to be most effective and successful.Over the past 15+ years I have focused on Clinical Data Management as well as Project Management. I am proficient in all aspects of data management from cradle to grave, and am quite adept in Oracle Clinical paper-based systems as well RDC, Rave, Merge and several proprietary EDC clinical systems.