AI
Laboratory Automation Engineer (Robotics and Digital Twins)
Axle Informatics
120–160 tn US$ / år · Bethesda, Maryland, US
Axle Informatics is a bioscience and IT company building biomedical informatics, data science, and operationalized AI/ML software for research centers and healthcare organizations, including NIH institutes.
Axle Informatics is a bioscience and information technology company working at the intersection of translational research, biomedical informatics, and data science. Its engineering work centers on software, data pipelines, and applied AI/ML rather than hardware: developing research tools and techniques, operationalizing artificial intelligence and machine learning within biomedical research and healthcare settings, and building data science applications used to support decision-making at research centers and healthcare organizations.
The technical stack spans biomedical and health informatics, translational science, data science, AI/ML, and software engineering. Deployments are delivered to research centers and healthcare organizations in the United States and internationally, with multiple institutes at the National Institutes of Health (NIH) among its client and partner base. That environment typically implies work under government research constraints - data governance, reproducibility, and validated methods - though specific project details are not published.
Service lines include comprehensive research, technology, and healthcare services tailored to research centers and healthcare organizations, covering the development and application of research tools and techniques intended to accelerate research discoveries. A second line focuses on the development and application of operationalized AI/ML and other transformative technologies within biomedical research and healthcare innovation - emphasizing models that move past experimentation into routine use.
The company describes itself as a team of thinkers, creators, and engineers combining domain expertise in bioscience with IT capabilities. Roles suited to engineers from adjacent domains - perception, autonomy, controls, or embedded systems - would map onto the software, data science, and machine learning work rather than to robotics hardware, as no robotics or mechatronics programs are described in the company's stated scope.