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Brilliance@Work: R&D Informatics Expert Laura Aguiar

Photo: James Lee, Chester, NH, USA

Photo: James Lee, Chester, NH, USA

Welcome to Brilliance@Work, a series of profiles about stellar collaboration professionals and their best practices at work.

Laura Aguiar, Ph.D., MBA, MPM, PMP, is the Data Science Decision Support Service Manager for Roche Pharmaceutical Research and Early Development Informatics at the Roche Innovation Center in New York.

Laura Aguiar

Laura Aguiar

Throughout May, Brilliance@Work will feature Marketing Analytics & Data Science experts. Read on to learn how Laura and her data science team support R&D informatics innovation at Roche.

Peggy L. Bieniek, ABC: How does Roche use data to help shape the future of healthcare?
Laura Aguiar: Various types of data are used. For example, market research data is used for constructing/optimizing business strategy, by understanding the physicians’ needs and their expectations for specific disease indication. Genetics and genomics data is used for identifying and assessing biomarkers (predictive drug response biomarkers, drug safety biomarkers, etc.). Real world data (insurance claim data, Electronic Healthcare Record [EHR] data) is starting to be used for optimizing clinical trial study protocols (by understanding disease populations), patient recruitment, etc.

PB: How does R&D informatics support collaboration?
LA: R&D informatics can support collaboration on many levels. It can provide user-friendly collaboration platforms that makes it easier to store and share relevant information in unstructured (file share) and structured databases (for scientific data from collaboration). The R&D informaticians also provide a bridge between collaborators (usually scientists) and Roche, particularly for data and information sharing.

PB: How are big data and data science impacting R&D currently?
LA: We are making use of big data, like Next Generation Sequencing (NGS) data, to identify additional disease indications that certain drugs have the potential to cure (based on their mechanism of action and disease etiology fit) and to identify predictive drug response biomarkers. Using mixed data science capabilities, we combine different types of big data, like NGS, literature, and real world data to support pre-clinical and clinical project teams, scientists, and clinical operation experts.

PB: What will people gain from attending your conference presentation?
LA: People will get insight on the formation and value of a Data Science team in a Research Pharma organization. They will learn how it’s managed, the interface with stakeholders, value through drug project impacts, and employment of a cross-functional team in a global setting.

Want to hear more from Laura Aguiar? Join us at the Marketing Analytics & Data Science Conference on June 8-10, 2016 in San Francisco, California, as she presents “Data Science in Early R&D Informatics.” #MADSCONF


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Learning Opportunities are Blooming in Marketing Analytics & Data Science

Paper Flowers“All the flowers of all the tomorrows are in the seeds of today.” – Indian proverb

Advances in technology continue to shape our future. What we learn and do today will help us succeed tomorrow.

Join me June 8-10, 2016 for IIR USA’s Marketing Analytics & Data Science Conference (MADS) in San Francisco, California. Together we’ll learn how to deploy marketing analytics and data science to drive our businesses and organizations forward.

Here’s a peek at a few of the presentations and speakers on the agenda:

  • “Marketing in a Hyper Connected World” by Theo Priestley, Technology & Digital Evangelist and Forbes Contributor
  • “Industrial Internet: Building the Digital Industrial World with Data Science” by Beena Ammanath, Executive Director, Data Science, GE
  • “Foreseeing the Next Big Innovations and Marketplace Risks” by Alec Ross, Author, The Industries of the Future, New York Times Best Seller
  • “Customer Valuation: The Time is Now!” by Peter Fader, Professor of Marketing, Co-Director of the Wharton Customer Analytics Initiative

As a guest contributor to The Market Research Blog, I’ve created these MADS conference stories that will help you gain insights from experts across industries:

Register today for MADS to learn, network and share best practices with the most influential leaders in data science and analytics. Stay connected at #MADSCONF.

In the meantime, watch for my MADS presenter profiles and conference posts on LinkedIn, Twitter, Google+ and Starry Blue Brilliance.

Looking forward to attending this event with you!