Jeff Headd
- Role
- Vice President, Commercial Data Science at Johnson & Johnson Innovative Medicine
- Location
- Philadelphia, PA, US
- LinkedIn followers
- 500 followers
About Jeff Headd
Scientific leader with 15+ years of experience delivering data-driven results through…
Experience
Vice President, Commercial Data Science
Johnson & Johnson Innovative Medicine
Nov 2021 — Present
As Vice President of Commercial Data Science in the Janssen Pharmaceuticals Business Technology organization, I am accountable for a portfolio of data, advanced analytics, and artificial intelligence projects and products across commercial business functions. My diverse organization of data scientists and data engineers deliver capabilities in areas of Advanced Analytics/Machine Learning/Deep Learning/AI that have direct impact on our patients and customers. Our team works in close partnership with and in support of our Commercial teams by providing best in class data science capabilities, delivering compliant, secure, and scalable data science platforms, including next generation tools that enable data scientists to innovate and collaborate. We also focus on continually maturing our machine learning capabilities through operationalization & scaling initiatives using best-in-class data science engineering methodology and tooling along with on-going model monitoring and refresh practices that ensure impactful outcomes in support of Janssen business priorities
Education
Duke University
PhD, Computational Biology and Bioinformatics
2003 — 2009
Brown University
Bachelor of Science (BSc), Computational Biology
1999 — 2003
Skills
- Cloud Computing
- Entity Extraction
- Linux
- Machine Learning
- Protein-Protein Interactions
- Protein Chemistry
- Biophysics
- Perl
- C++
- Algorithm Development
- R&D
- Supply Chain
- Hadoop
- Protein Structure
- High Performance Computing
- Structural Biology
- Big Data Analytics
- Multi-Channel Marketing
- Artificial Intelligence
- R
- Protein Modeling
- Data Science
- Bioinformatics
- Molecular Biology
- Neural Networks
- Biochemistry
- Real World Evidence
- Business Development
- Java
- Data Visualization
- Data Analysis
- Computational Biology
- Data Analytics
- Quantitative Analytics
- Os X
- Competitive Intelligence
- Deep Learning
- X-Ray Crystallography
- Clinical Trials
- Semantic Technologies
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