Greg Kauffman
Computational Chemist at AstraZeneca
- Role
- Principal Scientist at 阿斯利康
- Location
- Providence County, RI, US
- LinkedIn followers
- 500 followers
About Greg Kauffman
I am a seasoned research scientist with extensive experience researching, developing, and applying computational tools to an array of challenging problems. I spent the first 16 years of my professional career championing smarter drug discovery as a computational medicinal chemist with Pfizer. The next two years were spent leading digital transformation efforts at the Naval Undersea Warfare Center to better support the mission of the United States Navy. I have returned back to pharma research and am currently a lead computational chemist at AstraZeneca supporting the small molecule oncology portfolio.I am a subject matter expert in computational chemistry, machine learning, data analytics, and data visualization. My transferable technical skills include Linux/Windows/Mac OS proficiency, Python/PERL scripting, Spotfire/Tableau, Pipeline Pilot/KNIME, SQL, Microsoft & Google applications, and a wide range of computational chemistry software packages. I pride myself on being kind, practical, and pragmatic. My peers have recognized me for my strong written/verbal communication, team leadership, and highest code of ethics and professionalism.
Experience
Principal Scientist
Jul 2022 — Present · Waltham, MA, US
Education
Penn State University
Ph.D., Chemistry
1998 — 2002
Virginia Tech
B.S., Chemistry
1993 — 1998
Skills
- Lead Change
- Team Leadership
- Data Analysis
- Analytics
- Self-Confidence
- Cheminformatics
- Docking
- Communication
- Data Science
- Shell-Scripting
- Medicinal Chemistry
- Computational Chemistry
- Library
- Drug Design
- Virtual Screening
- Library Design
- Lead Optimization
- Drug Development
- Technical Writing
- Organic Chemistry
- Non-Profit Volunteering
- Gpcrs
- Tenacious Work Ethic
- Emotional Intelligence
- Critical Thinking
- Homology Modeling
- Adme
- Big Data Analytics
- Web Design
- Computer-Assisted Drug Design
- Molecular Modeling
- Oncology
- Spotfire
- Neuroscience
- Drug Discovery
- Organic Synthesis
- Social Media
- Machine Learning
- Problem Solving
- Pharmaceuticals
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