Customer Engineer III AI ML Life Sciences North Google Cloud
Greater Seattle Area United States
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Summary
👤
Senior
🎓
Top School
David Henderson is a seasoned computational scientist and leader who blends deep expertise in statistical genetics, genomics, and cloud-deployed bioinformatics with hands-on AI/ML applied to life sciences. He has built and scaled teams and products—from founding open source efforts at NanoString and designing the AtoMx spatial analysis stack to driving AI-driven pathology solutions at Flagship and now implementing life-science ML at Google Cloud. A proven operator in startups and larger enterprises, he has repeatedly grown teams, revenue, and client bases while managing outsourced development and secure cloud deployments. Technically fluent across R, Python, C++, Matlab/Octave, SAS and more, he designs reproducible analysis pipelines (Dockerized) and novel statistical methods for spatial and sequencing platforms. He brings academic rigor from a PhD in statistical genetics and faculty experience together with pragmatic product delivery and regulatory-aware diagnostic development. An oft-overlooked strength is his track record of turning complex statistical innovations into production-ready, cloud-native tooling that teams can adopt and reproduce.
10 years of coding experience
25 years of employment as a software developer
Ph.D. Statistical Genetics, Ph.D. Statistical Genetics at Virginia Tech
M.Sc. Molecular Genetics, M.Sc. Molecular Genetics at South Dakota State University
B.Sc. Animal Science, B.Sc. Animal Science at Texas A&M University
Pleasanton High School
Postdoctoral Associate Statistics, Postdoctoral Associate Statistics at Iowa State University
Tools for NanoString Technologies nCounter Technology for reading RCC files into an ExpressionSet derived object, QC and normalization.
Contributions:70 commits, 2 pushes, 2 comments in 1 year 8 months
sariftechnologiesnanostringderivednormalization
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David Henderson - Customer Engineer III AI ML Life Sciences North Google Cloud