Sara Moore
Technical Director, Data Science
Raleigh-Durham-Chapel Hill Area United States
Summary
👤
Senior🎓
Top SchoolSara Moore is a Technical Director in Data Science with a two-decade grounding in clinical and healthcare research and over a decade of applied industry experience building data-driven products. She has advanced from hands-on biostatistics and bioinformatics roles in academia and pharma to leading data science teams at Cornerstone AI, shaping production analytics and ML-driven decision-making. Her career includes tangible product work—building user-facing analytics, A/B testing platforms, and a public Shiny visualization that supported a national press campaign—showing she bridges deep statistical rigor with product and marketing impact. Skilled in R, Scala, and reproducible research practices, she has contributed to bioinformatics tooling and reproducibility projects during her Genentech and UC Berkeley work. Based in the Raleigh-Durham-Chapel Hill area, she combines PhD-level biostatistics training with practical leadership in AI and healthcare analytics. Notably, she pairs publishing-quality research instincts with a knack for shipping consumer-facing analytics that tell compelling stories to nontechnical audiences.
11 years of coding experience
13 years of employment as a software developer
Master of Arts (MA), Biostatistics, Master of Arts (MA), Biostatistics at University of California, BerkeleyBachelor of Arts (BA), Computer Science, Psychology, Sexuality Studies, Bachelor of Arts (BA), Computer Science, Psychology, Sexuality Studies at Duke UniversityHigh School, High School at North Carolina School of Science and MathematicsEmory University
English
Github Skills (27)
superlearner10
feature-selection9
r-package9
r7
parser7
reticulate7
machine-learning6
shiny-apps5
rsconnect5
gcloud5
json5
shiny4
storage4
mixed-models4
random-forest4
Programming languages (3)
Github contributions (5)
saraemoore/SLScreenExtra
Aug 2017 - Feb 2021
A collection of additional screening algorithms for SuperLearner
Contributions:1 release, 28 commits, 2 PRs in 3 years 6 months
feature-selectionmachine-learningrsuperlearner
saraemoore/Rdataviz2017
Mar 2017 - Dec 2017
Contributions:15 commits, 14 pushes, 1 branch in 9 months
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