Axle
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
We are seeking a Senior Software Engineer, Health Data Interoperability to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.
Benefits We Offer:
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:
Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN)
Overview Join the team at the forefront of revolutionizing medical research in the United States. We are 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. We believe that the future of health research depends on elegant, robust, and scalable software. We need engineers who can think in systems, build powerful abstractions, and create the tools that will accelerate discovery for thousands of researchers nationwide. What You'll Do: Architect Core Interoperability Libraries: Design, build, and maintain high-performance libraries in Python (and potentially Rust) for mapping, transforming, and validating massive clinical datasets. Develop Declarative Data Mapping Engines: 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.” Build Advanced Terminology Services: Engineer libraries that handle the complex logic of mapping clinical terminologies, normalizing units of measure, and ensuring semantic consistency across disparate datasets. Create Robust Data Model Abstractions: 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. Champion Software Engineering Excellence: Drive best practices in API design, testing, documentation, and tooling. Collaborate and Innovate: Work closely with data engineers, informaticians, and scientists to understand their deepest challenges and create the foundational tools they need to succeed. What You'll Bring (Required Qualifications): 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. Expert-level proficiency in Python, with deep knowledge of its object model, type system, and performance characteristics. Proven experience designing and building libraries or frameworks for other developers. A strong foundation in computer science fundamentals, including data structures, algorithms, and compiler/interpreter design. Experience with modern software development practices: version control (Git), CI/CD, comprehensive unit testing, and meticulous documentation. What Sets You Apart (Preferred Qualifications): 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). Expertise in building high-performance data processing systems and a keen eye for optimization. Contributions to open-source software libraries and frameworks. Axle is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to providing equal employment opportunities and prohibit discrimination 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.
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Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN)
Overview Join the team at the forefront of revolutionizing medical research in the United States. We are 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. We believe that the future of health research depends on elegant, robust, and scalable software. We need engineers who can think in systems, build powerful abstractions, and create the tools that will accelerate discovery for thousands of researchers nationwide. What You'll Do: Architect Core Interoperability Libraries: Design, build, and maintain high-performance libraries in Python (and potentially Rust) for mapping, transforming, and validating massive clinical datasets. Develop Declarative Data Mapping Engines: 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.” Build Advanced Terminology Services: Engineer libraries that handle the complex logic of mapping clinical terminologies, normalizing units of measure, and ensuring semantic consistency across disparate datasets. Create Robust Data Model Abstractions: 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. Champion Software Engineering Excellence: Drive best practices in API design, testing, documentation, and tooling. Collaborate and Innovate: Work closely with data engineers, informaticians, and scientists to understand their deepest challenges and create the foundational tools they need to succeed. What You'll Bring (Required Qualifications): 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. Expert-level proficiency in Python, with deep knowledge of its object model, type system, and performance characteristics. Proven experience designing and building libraries or frameworks for other developers. A strong foundation in computer science fundamentals, including data structures, algorithms, and compiler/interpreter design. Experience with modern software development practices: version control (Git), CI/CD, comprehensive unit testing, and meticulous documentation. What Sets You Apart (Preferred Qualifications): 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). Expertise in building high-performance data processing systems and a keen eye for optimization. Contributions to open-source software libraries and frameworks. Axle is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to providing equal employment opportunities and prohibit discrimination 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.
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