Senior Neuroengineering Developer

Description

Do you enjoy designing software, algorithms, and cloud-based tools that accelerate neuroscience discovery?

We are seeking a Senior Neuroengineering Developer to lead the design, development, and deployment of computational tools, software, and algorithms for large-scale structural and functional neuroscience datasets. You will help build the next generation of connectomics analysis capabilities while advancing our understanding of nervous system function. We are a large collaborative and multidisciplinary team of engineers and scientists engaged in groundbreaking research for the nation, spanning neuroengineering, artificial intelligence, robotics, and complex systems.

• Your primary role will be leading the development and maintenance of computational pipelines, scalable analysis tools, and cloud-based environments for interrogating large-scale neuroscience datasets, including structural and functional connectomes collected across multiple species and imaging modalities.
• You will develop, maintain, and extend the software infrastructure that supports cloud-scale storage, visualization, and analysis of petabyte-scale neuroscience datasets used by researchers worldwide.
• You will architect and implement scalable software systems that support automated neuroscience data processing, visualization, and analysis on high-performance computing resources.
• You will communicate key findings both internally across teams and externally to sponsors, and will play a major role in research proposal development.
• You will participate in the neuroscience and APL community, and present data at Lab meetings and to department management.
• You will participate in collaboration and innovation opportunities to help ensure the success of APL's mission.

• Hold a Ph.D. in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Neuroscience, Biomedical Engineering, or related subject areas.
• Have 5+ years experience developing software or computational methods for large-scale structural and/or functional neuroscience datasets.
• Have demonstrated experience designing and deploying production software using modern cloud infrastructure (AWS or equivalent), containerization (Docker, Kubernetes), databases (SQL and/or No
  
  SQL), RESTful APIs, and modern software engineering practices.
• Have experience with collaborative software engineering practices including Git, automated testing, CI/CD, and code review.
• Demonstrate excellent research and 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.

• Have experience designing cloud-native data platforms for petabyte-scale scientific datasets.
• Have experience developing distributed data processing pipelines or microservices.
• Have experience building interactive visualization or web applications for scientific datasets.
• Have experience with computer vision, image processing, machine learning, or AI applied to biological imaging datasets

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can…