Neuroengineering Developer

Description

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

We are seeking a Neuroengineering Developer to design, develop, and deploy 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.  

As a Neuroengineering Developer...

• Your primary role will be developing and maintaining 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 design, implement, test, and optimize software systems supporting automated neuroscience data processing, visualization, and analysis on cloud and high-performance computing platforms.
• You will collaborate with multidisciplinary teams to develop software solutions, communicate technical progress, and contribute to research publications and proposals.
• You will present your work at technical meetings and collaborate with researchers across APL and external institutions.
• You will participate in collaboration and innovation opportunities to help ensure the success of APL’s mission.

Qualifications

You meet our minimum qualifications for the job if you...

• 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.

You'll go above and beyond our minimum requirements if you...

• Hold a M.S. in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Biomedical Engineering, Neuroscience, Applied Mathematics, or a related technical field.
• Have experience developing or deploying scientific software using cloud computing, high-performance computing, distributed systems, and/or containerized software.
• Have experience developing interactive scientific visualization or web applications.
• Have experience with computer vision, machine learning, deep learning, or artificial intelligence for scientific datasets.
• Have experience with biomedical, neuroscience, behavioral, or biological imaging datasets.
• Have contributed to collaborative software projects through research, internships, or open-source development.

About Us

Why Work at APL?

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 bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$85,000 Annually

Maximum Rate

$195,000 Annually