Statistical Software Developer

About Headwater Science

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 Role

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.

What You’ll Do

• Design and develop a novel M-estimation engine and statistical estimators with an R interface
• Partner with epidemiologists and statisticians to translate methodological research into production software
• Build tools that streamline epidemiological research workflows and data analysis
• Develop utilities for architecting and automating research data pipelines
• Ensure software quality through testing, validation, and performance optimization
• Write clear documentation and training materials for internal research teams
• Provide technical support and guidance to scientists using the platform

What You’ll Bring

• Bachelor’s degree in mathematics, statistics, computer science, or a related STEM field
• 3+ years of experience developing statistical software or data processing systems
• Experience in R 
• Strong interest in supporting epidemiological and causal inference research through software development
• Deep understanding of M-estimation theory and implementation
• Knowledge of mathematical optimization techniques
• Expertise in causal inference methods for observational data
• Experience building high-quality statistical software

Nice to Have

• Experience with functional programming
• Familiarity with CI/CD workflows for scientific software
• Experience with large-scale data processing pipelines
• Experience with AWS services such as Batch, S3, and EC2
• Command-line workflows in UNIX/Linux environments
• Background in epidemiological research and causal inference is preferred.

What We Offer

• Hybrid work environment – 3 days onsite per week.
• Comprehensive health, dental, and vision coverage for you and your family.
• 401(k) with company match.
• Generous PTO and company holidays.
• Paid parental leave.

If you are ready to be part of a team where your work truly matters—where your expertise is valued, your growth is supported, and your contributions help shape the future of healthcare—Headwater Science is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it.