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About the Mission:
- Join the team at the forefront of revolutionizing medical research in the United States.
- Contribute to the core data platform that makes this research possible.
The Role:
- Build and operate the core data infrastructure that powers large-scale, regulated healthcare and research datasets.
- Design, implement, and maintain ingestion, transformation, orchestration, and data quality systems that are reliable, observable, and secure.
- Write clean, modular, well-tested Python code for data pipelines and platform services.
What You’ll Do:
- Implement ingestion pipelines using Airbyte or similar ELT tools.
- Build, debug, and optimize Docker images for local and production environments.
- Work with AWS primitives (S3, Lambda, Glue, Fargate), with a focus on portability and migration toward open-source, cloud-agnostic alternatives.
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. With experts in biomedical science, software engineering, and program management, they focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.