Neuroengineering Software Engineer: Cloud & Data Pipelines

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 195,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Neuroengineering Developer to design, develop, and deploy computational tools, software, and algorithms for large-scale neuroscience datasets, including connectomes across species and imaging modalities.

You will build cloud-scale storage, visualization, and analysis pipelines, implement scalable software in cloud and HPC environments, and collaborate with multidisciplinary teams to advance neuroscience research and publish

Qualifications

• ,
• Hold a B.S. in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Biomedical Engineering, Neuroscience, Applied Mathematics, or a related technical field.
• Have 1+ year experience developing scientific software, computational methods, data analysis pipelines, and/or scalable software systems.
• Have experience developing scientific software using Python (e.g., NumPy, SciPy, PyTorch).
• Have experience with collaborative software engineering practices (Git, testing, CI/CD).
• Demonstrate excellent oral communication skills, and the ability to work with a wide range of collaborators.
• Are able to obtain Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Responsibilities

• Developing and maintaining computational pipelines, scalable analysis tools, and cloud-based environments for interrogating large-scale neuroscience datasets, including structural and functional connectomes across species and imaging modalities.
• Develop, maintain, and extend software infrastructure that supports cloud-scale storage, visualization, and analysis of petabyte-scale neuroscience datasets.
• Design, implement, test, and optimize software systems for automated neuroscience data processing, visualization, and analysis on cloud and HPC platforms.
• Collaborate with multidisciplinary teams to develop software solutions, communicate technical progress, and contribute to research publications and proposals.
• Present your work at technical meetings and collaborate with researchers across APL and external institutions.
• Participate in collaboration and innovation opportunities to help ensure the success of APL’s mission.

Skills

Excellent communication

Collaboration

Security awareness

Education

BS in Computer Science/related field

MS in related field (preferred)

Tools

Python

Git

CI/CD

Cloud computing

Docker

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Neuroengineering Developer to design, develop, and deploy computational tools, software, and algorithms for large-scale neuroscience datasets, including connectomes across species and imaging modalities.

You will build cloud-scale storage, visualization, and analysis pipelines, implement scalable software in cloud and HPC environments, and collaborate with multidisciplinary teams to advance neuroscience research and publish