Axle is seeking to solve the complexity of heterogeneous health data by building and maintaining the foundational infrastructure of the National Clinical Cohort Collaborative (N3C), the nation's largest and most significant public repository of harmonized electronic health record (EHR) data. The goal is to create elegant, robust, and scalable software solutions to accelerate research discoveries for thousands of researchers nationwide.
Requirements
- Expert-level proficiency in Python, with deep knowledge of its object model, type system, and performance characteristics. You write clean, idiomatic, and highly testable code.
- Proven experience designing and building libraries or frameworks for other developers. Your resume shows a history of creating successful abstractions.
- A strong foundation in computer science fundamentals, including data structures, algorithms, and compiler/interpreter design (e.g., experience with parsing, abstract syntax trees, etc.).
- Experience with modern software development practices: version control (Git), CI/CD, comprehensive unit testing, and meticulous documentation.
- Experience with Rust.
- Deep experience with healthcare data and a clear understanding of the challenges posed by standards like OMOP, FHIR, and other Common Data Models.
- Experience building and working with Domain-Specific Languages (DSLs).
Responsibilities
- Design, build, and maintain high-performance libraries in Python (and potentially Rust) for mapping, transforming, and validating massive clinical datasets.
- Create sophisticated tools that allow domain experts to define complex data transformations using simple, clear, domain-specific languages (DSLs), separating the "what" from the "how."
- Engineer libraries that handle the complex logic of mapping clinical terminologies, normalizing units of measure, and ensuring semantic consistency across disparate datasets.
- Develop strongly-typed data access layers and handlers that abstract away the underlying storage (e.g., SQL databases, Parquet files, JSON documents), presenting a unified interface for data manipulation.
- Drive best practices in API design, testing, documentation, and tooling.
- Produce libraries that are not only powerful but also a pleasure for other developers to use.
- Work closely with data engineers, informaticians, and scientists to understand their deepest challenges and create the foundational tools they need to succeed.
Other
- A profound passion for building elegant, high-quality developer tools and libraries.
- Bachelor's or Master's degree in Computer Science or a related engineering field with 8+ years of professional software development experience.
- Expertise in building high-performance data processing systems and a keen eye for optimization.
- Contributions to open-source software libraries and frameworks.
- The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.