Summary
Jason Anderson is a Senior Data Scientist with 12 years of experience bridging data science and data engineering across healthcare and consumer research, currently applying his expertise at Lyra Health. He builds scalable data models and analytic tooling for large-scale studies (300k+ participants), automates complex ETL/ELT workflows (dbt, Airflow, Docker), and regularly serves as the primary statistician and presenter for multi-disciplinary research. Trained as a clinical psychologist with a PhD and a background in neuropsychology, he blends rigorous statistical methods with domain knowledge in mental and behavioral health to generate actionable insights for both technical and lay audiences. Jason’s track record includes 15+ journal articles, 20+ conference presentations, and over 30 cross-disciplinary collaborations, reflecting strong communication and project leadership. Notably, he has experience extracting and standardizing metadata from nested JSON schemas to automate dbt model generation, demonstrating a practical knack for translating messy research data into production-ready analytics.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Biopsychology, Cognition, & Neuroscience, Bachelor of Science (BS), Biopsychology, Cognition, & Neuroscience at University of Michigan
Doctor of Philosophy - PhD, Clinical Psychology, Doctor of Philosophy - PhD, Clinical Psychology at Kent State University