Neuroengineering Developer for Cloud-Scale Neuroscience

Johns Hopkins Applied Physics Lab; 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 for large-scale neuroscience datasets. You will build cloud-enabled pipelines, visualization, and analysis workflows used by researchers across modalities and species.

Join a multidisciplinary team advancing connectomics, AI, and neuroscience. You should have a BS in a related field and hands-on experience with Python, Git, CI/CD, and scalable

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

• Develop and maintain computational pipelines, scalable analysis tools, and cloud-based environments for interrogating large-scale neuroscience datasets.
• Develop, maintain, and extend the software infrastructure that supports cloud-scale storage, visualization, and analysis of petabyte-scale neuroscience datasets.
• Design, implement, test, and optimize software systems supporting automated neuroscience data processing, visualization, and analysis on cloud and high-performance computing 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

Python

NumPy

SciPy

PyTorch

Git

CI/CD

Communication

Education

Bachelor's degree in related field

MS preferred

Tools

Cloud platforms

High-Performance Computing

Docker

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Neuroengineering Developer to design, develop, and deploy computational tools for large-scale neuroscience datasets. You will build cloud-enabled pipelines, visualization, and analysis workflows used by researchers across modalities and species.

Join a multidisciplinary team advancing connectomics, AI, and neuroscience. You should have a BS in a related field and hands-on experience with Python, Git, CI/CD, and scalable