Marcio Buss
Strategy | Analytics | Novo Nordisk | Columbia PhD | ex-McKinsey
- Role
- Senior Director, Clinical Data Science and Real-world Data Insights at Novo Nordisk
- Location
- Princeton, NJ, US
- LinkedIn followers
- 500 followers
About Marcio Buss
I have a nonlinear career path, having worked in Academia & Research at world-class institutions (Bell Labs, IBM T.J. Watson Research Center), management consulting (McKinsey), and global corporations (spanning Consumer Goods and most recently Pharma). PhD holder advised by a Turing Award winner, my experience ranges from specialized fields such as compilers, machine learning, cloud computing, and advanced computer programming, to the leadership of multifunctional technical teams and the ability to work across organizational boundaries to influence diverse groups of stakeholders. Proven track record on using data to drive actionable business results and synthesize complex information in an effective storytelling. I thrive in cross-collaborative environments comprising multiple diverse teams.
Experience
Senior Director, Clinical Data Science and Real-world Data Insights
May 2024 — Present · Princeton, NJ, US
Senior Director in the Clinical Data Science and Evidence (CDSE) department within Clinical, Medical & Regulatory (CMR) at Novo Nordisk US Operations (USO). CDSE is responsible for Real World Evidence, Health Economics and Outcomes Research, as well as Data Science support for Medical Affairs, Clinical Trial Operations, Regulatory Affairs, and other areas within USO.Leads the delivery of data science and advanced analytics on a myriad of Health Care data sets, especially \"Real-World Data\"(Medical Claims, Electronics Medical Records, Electronics Health Records, Pharmacy Rx Prescriptions Data, anonymized Patients\' Laboratory and Biomarkers data, etc.)Supports Clinical Trial Operations on key areas like Patient Finding, Site Selection, Investigator Identification by building analytics and custom data apps that leverage a full-stack development.Guides the team in leveraging AI/ML/LLMs to accelerate the development and deployment of capabilities, including Claude Code-assisted programming of Observational Studies and Insights using R, Python, and (snow)SQL languages.Expertise in Snowflake infrastructure, Komodo Health, Optum CDM, IQVIA LAAD, datasets.
Education
Universidade Estadual de Campinas
Master of Science - MS, Computer Science
Universidade Federal de Santa Maria
Bachelor of Engineering - BE, Electrical and Computer Engineering
Columbia University
Master of Philosophy - MPhil, Computer Science
Columbia University
Doctor of Philosophy - PhD, Computer Science
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