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Headwater Science is hiring an Advanced Statistical Software Developer to translate cutting-edge methodological research into scalable software for real-world evidence and causal inference.
You will collaborate with epidemiologists and statisticians to design and implement an M-estimation engine with an R interface, build data pipelines, and ensure robust software quality across production environments. This hybrid role offers strong benefits and meaningful impact on healthcare analytics.
Headwater Science (formerly NoviSci) is a data science and methods company specializing in principled, reproducible evidence generation for complex clinical and regulatory challenges. With deep expertise in comparative effectiveness, causal inference, healthcare utilization and expenditure research, and regulatory-grade analytical software, Headwater Science provides the methodological foundation that delivers reproducible analytic pipelines, novel epidemiologic and statistical methods, and regulatory-grade software validated to hold up under the most demanding scrutiny. The company works with life sciences organizations as a long-term scientific partner. Headwater Science is a Highlander Health company. Learn more at headwaterscience.com.
The Advanced Statistical Software Developer helps build the next generation of tools for real-world evidence and causal inference research.
In this role, you will work closely with epidemiologists and statisticians to translate advanced methodological research into high-quality software used to analyze observational health data. You’ll help design and develop statistical infrastructure that enables researchers to perform rigorous causal inference at scale.