Staff Engineer, R37

R1 recently launched R37, an AI Lab set to transform healthcare financial performance. R37 is at the forefront of this mission, leveraging cutting-edge technology and AI-native tools to solve some of the most complex and impactful challenges in healthcare operations.  

As our Staff Engineer, R37 you will play a pivotal role in shaping and delivering technical solutions that drive real business outcomes. Every day, you will own large, ambiguous business problems end-to-end, working backwards from the desired outcome to architect, build, and operate systems that are robust, scalable, and maintainable. To thrive in this role, you must be a good communicator with a proactive sense of engagement and provide technical leadership. 

Here’s what you will experience working as Staff Engineer, R37:  

• Own outcomes: Start with complex business problems, collaborate closely with product and operations stakeholders to decompose the problem, define requirements, design technology solutions, and build high quality software that delivers results.   

• System design: Work backwards from extremely complex business problems to design the correct abstractions and components in the simplest, most logical and maintainable way possible.  

• Maintain and operate systems at scale: Ensure reliability, performance, and operational excellence of systems in production.  

• Technical leadership: Set the technical direction for projects and teams. And set and maintain the bar for code quality, testing, and operational excellence.   

• Cross-team collaboration and mentorship: Mentor engineers and collaborate with stakeholders across the organization.  

• Influence roadmap and strategy: Shape R37’s roadmap and long-term technology strategy. 

To be successful in this role, the candidate will have: 

• Proven experience building and operating large-scale, complicated data platforms or systems  

• Proficiency in modern programming languages like Python, Java, Go, Rust, TypeScript, Kotlin, or C#  

• Experience with cloud infrastructure (AWS, GCP, or Azure)  

• Track record of technical leadership  

• Excitement to work in AI-native environment, openness to trying new technologies, and experience building with AI-native tools (e.g., Cursor, Windsurf, Lovable)  

It's a plus if you bring: 

• Experience in healthcare or Revenue Cycle Management (RCM) or interest in making the US healthcare system more efficient 

• Experience in fast-paced startup or technology environments  

• Experience with large-scale data platforms like Snowflake, Databricks, Palantir, EMR, Athena

For this US-based position, the base pay range is $140,000.00-$300,000.00 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan.