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Connectomics Jobs in Washington (NOW HIRING)

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Connectomics information

What is connectomics?

Connectomics is the scientific study of the brain's wiring diagram, mapping the complex network of neural connections within the nervous system. Researchers in this field use advanced imaging technologies and computational methods to create detailed maps, or 'connectomes,' that show how neurons and brain regions are interconnected. Understanding these connections helps scientists uncover how the brain processes information, supports behavior, and is affected by diseases. Connectomics is a multidisciplinary field, involving neuroscience, computer science, and engineering, and it plays a crucial role in advancing our knowledge of brain function and disorders.

What are the key skills and qualifications needed to thrive as a connectomics researcher?

To thrive as a Connectomics Researcher, you need a background in neuroscience, computational biology, and data analysis, often supported by an advanced degree in neuroscience or a related field. Familiarity with imaging technologies (such as MRI, electron microscopy), programming languages (like Python or MATLAB), and data visualization tools is typically required. Strong analytical thinking, attention to detail, and collaborative skills help drive progress in this multidisciplinary field. These competencies are essential for accurately mapping neural connections and advancing our understanding of brain structure and function.

What are some common challenges faced by professionals working in connectomics research, and how can they be addressed?

Professionals in connectomics often encounter challenges such as handling massive datasets, integrating multidisciplinary knowledge, and managing the complexity of high-resolution brain imaging. Collaborating closely with computational scientists, neuroscientists, and data engineers is crucial for overcoming technical and analytical hurdles. Staying current with advancements in imaging technologies and data analysis tools, as well as participating in collaborative research teams, can help address these challenges and foster growth in the role.

What is the difference between Connectomics vs Neuroimaging Technician?

AspectConnectomicsNeuroimaging Technician
Required CredentialsNeuroanatomy, neuroscience, advanced imaging techniquesRadiologic technology, certification in neuroimaging
Work EnvironmentResearch labs, neuroscience institutesHospitals, imaging centers
Industry UsageAcademic research, neuroscience projectsMedical diagnostics, patient imaging

Connectomics focuses on mapping neural connections in the brain using advanced imaging and data analysis, often within research settings. Neuroimaging Technicians operate imaging equipment like MRI or CT scanners to produce brain images for clinical or research purposes. While both roles involve brain imaging, connectomics emphasizes neural network mapping, whereas neuroimaging technicians focus on image acquisition and processing for diagnosis or research.

What are popular job titles related to Connectomics jobs in Washington?

For Connectomics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Connectomics jobs in Washington look for?

The top searched job categories for Connectomics jobs in Washington are:

Connectomics jobs near you
Infographic showing various Connectomics job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution.

2026 PhD Graduate - Neural and Cognitive Engineering Researcher

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research

Job description

Description
Are you passionate about designing systems or algorithms using what we know about the mind and brain?
Do you want to help invent the future of how people interact with intelligent systems?
If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related subject area, we'd love to have you join our team!
We are seeking a researcher to contribute to and lead pioneering work in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. We are a large multidisciplinary team of engineers and scientists engaged in groundbreaking research in applied neuroscience, artificial intelligence, robotics, and complex systems. We are looking for a motivated and collaborative teammate to support research and development of intelligent systems as a strategic advantage for the nation.
As a Neural and Cognitive Engineering Researcher...
  • Your primary role will be developing algorithms and/or systems in domains spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research.
  • You will make an impact as an emerging leader on a multi-disciplinary research team, collaboratively leading and conducting pioneering research with government and commercial partners.
  • You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software development, and/or biomedical signal processing.
  • You will communicate key findings both internally across teams and externally to sponsors, including in proposal development.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related discipline
  • Have classroom or professional experience developing software and/or data analysis scripts
  • Have classroom or professional experience conducting research on connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research
  • Are able to obtain a final 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...
  • Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data
  • Have experience working on a fast-paced government-funded effort (e.g., DARPA project).
  • Have a Secret level security clearance or above.

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 Accessibility@jhuapl.edu.
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
$105,000 Annually
Maximum Rate
$245,000 Annually

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