Paul Kowalczyk
Data Science Researcher
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolPaul Kowalczyk is a data science researcher and seasoned computational chemist with over three decades of experience applying cheminformatics, QSAR, ADME modeling, and molecular modeling to drug discovery and chemicals R&D. He has led data science teams and analytics programs across industry leaders—from Pfizer and Syngenta to Solvay and Adaptimmune—and now focuses on democratizing data products so colleagues can act on insights directly. Comfortable across the full ML toolchain, he translates complex life‑science data into visualizations, predictive models, and actionable reports that drive decision making. Paul’s career blends deep academic training (PhD in Physical Chemistry from RPI) with pragmatic engineering instincts honed since the era of floppy disks, giving him a rare combination of longevity and continual technical currency. He is especially skilled at embedding cheminformatics into real-world workflows, making sophisticated methods accessible to non‑specialists.
8 years of coding experience
11 years of employment as a software developer
PhD Physical Chemistry, PhD Physical Chemistry at Rensselaer Polytechnic InstituteGithub contributions (5)
pjkowalczyk/DataPhilly_StoredDataStories
Sep 2020 - Sep 2020
Contributions:95 commits, 91 pushes, 1 branch in 8 days
pjkowalczyk/Literature
Oct 2020 - Feb 2025
Contributions:6 pushes, 1 branch in 4 years 5 months
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