Senior Neuroengineering Software Lead

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 290,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory in Laurel, MD, seeks a Senior Neuroengineering Developer to lead the design, development, and deployment of computational tools for large-scale neuroscience datasets.

You will build cloud-scale pipelines, scalable analysis tools, and production software for petabyte-scale data, collaborating with researchers and sponsors, and contributing to proposals and community activities.

Qualifications

• Ph.D. in relevant field.
• 5+ years in software or computational methods for large-scale neuroscience data.
• Experience with cloud infrastructure (AWS or equivalent).
• Experience with containerization (Docker, Kubernetes) and databases (SQL/NoSQL).
• Experience with Git, automated testing, CI/CD, and code reviews.
• Ability to communicate findings and collaborate with diverse teams.

Responsibilities

• Lead development and maintenance of computational pipelines and cloud environments for large neuroscience datasets.
• Develop and extend software infrastructure for cloud-scale storage, visualization, and analysis of petabyte-scale data.
• Architect scalable systems for automated neuroscience data processing and visualization on HPC resources.
• Communicate findings to internal teams and sponsors; contribute to research proposals.
• Engage with neuroscience and APL community; present data at Lab meetings and to management.
• Collaborate on innovation opportunities to advance APL’s mission.

Skills

PhD level expertise

Cloud infrastructure

Software development

Git & CI/CD

Communication skills

Education

Ph.D. in Computer Science, Computer Engineering, Data Science, AI, Neuroscience, Biomedical Engineering or related

Tools

Docker

Kubernetes

SQL/NoSQL databases

RESTful APIs

CI/CD

Job description

Johns Hopkins University Applied Physics Laboratory in Laurel, MD, seeks a Senior Neuroengineering Developer to lead the design, development, and deployment of computational tools for large-scale neuroscience datasets.

You will build cloud-scale pipelines, scalable analysis tools, and production software for petabyte-scale data, collaborating with researchers and sponsors, and contributing to proposals and community activities.