Bharadwaj P.
Head of R & d Automation Platforms Senior Director @Takeda
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WORK HISTORY
Head of R & d Automation Platforms Senior Director @Takeda
Cambridge, MA, US
EDUCATION
Harrisburg University of Science and Technology
Master's degree, Analytics
JNTUH College of Engineering Hyderabad
Bachelor of Technology (B.Tech.), Mechanical Engineering
Harvard Business School Online
Leading with Finance, Finance, General
Harrisburg University of Science and Technology
Doctor of Philosophy - Ph.D., Data Science, Deep Learning
ABOUT BHARADWAJ P.
As a Global Leader in Life Sciences and Healthcare Technology, I specialize in data and technology strategy, future state roadmap planning, and business-IT alignment for Pharmaceuticals and CROs. My experience includes leading strategy and technology teams across various areas, including R&D, clinical operations, clinical data management, cell and gene therapy, clinical trials, pharma commercialization, go-to-market strategy, drug safety, and regulatory operations.I have led the development of multiple eClinical systems, such as EDC, CDR, MdR, CTMS, and RBM. Additionally, I have modernized enterprise data platforms at Big Pharma clients using AWS offerings and have spearheaded initiatives in automation, AI/ML, and large language models (LLMs) for enhanced data analysis and decision-making.My expertise includes program management, business analytics, and data interpretation. I am particularly interested in the intersection of data science and public policy, epidemiology, government, and pharmaceuticals. I published a paper on breast cancer discovery using metabolomics with machine learning, demonstrating my commitment to advancing healthcare through innovative technologies.Subscribe to my Substack! https://bharadwajpopuri.substack.com/Core Skills:Global Leadership| Digital Transformation |Application Portfolio Management |Cloud Transformation| Vendor Alliance Management| Business IT Alliance|Product Management |Agile Transformation |Strategic Planning |Technology Integration |Financial Planning|Startups, Fundraising, and Commercialization|Drug Lifecycle |Machine Learning |Deep Learning|Natural Language Processing |Large Language Models (LLMs)| Metabolomics | Cancer Discovery
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