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Data Science Neuroscience Jobs in Washington (NOW HIRING)

Meso Scale Discovery

Scientific Content Manager

Rockville, MD · On-site +1

$78K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... science into clear, differentiated narratives that engage researchers and decision-makers. DUTIES ... data into compelling customer benefits tailored to specific market segments and personas. o ...

MSD

Scientific Content Manager

Rockville, MD · On-site

$78K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data into compelling customer benefits tailored to specific market segments and personas. o ... neuroscience, translational medicine). • Campaign & Demand Support o Provide content that fuels ...

Ipsen

Thought Leader Liaison

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TLL engagements will gain market insights, assess impact of new and emerging clinical data in the ... Neuroscience Specialty Representatives, Medical Science Liaisons, Marketing teams, and Value ...

mPower, Inc.

Program Director

Bethesda, MD · On-site

$160K - $190K/yr

... data platforms, ensuring effective governance and scientific oversight. * Coordinate ... D., or equivalent) in neuroscience, neurology, or a related biomedical field. * Demonstrated ...

mPower, Inc.

Program Director

Bethesda, MD · On-site

$160K - $190K/yr

... data platforms, ensuring effective governance and scientific oversight. * Coordinate ... D., or equivalent) in neuroscience, neurology, or a related biomedical field. * Demonstrated ...

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Data Science Neuroscience information

How do data scientists in neuroscience typically collaborate with research teams and clinicians?

Data scientists in neuroscience often work closely with multidisciplinary teams that include neuroscientists, clinicians, and other data specialists. They are responsible for designing and implementing analytical pipelines, interpreting complex brain data, and translating findings into actionable insights for both research and clinical applications. Effective communication skills are crucial, as they must explain technical results to non-technical team members and adapt analyses based on evolving research questions. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and impacts both academic and medical advancements.

Can I become a data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a data science neuroscientist role, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning, along with relevant certifications or coursework, can enhance eligibility for this interdisciplinary position.

What are the key skills and qualifications needed to thrive as a data science neuroscience professional, and why are they important?

To excel as a Data Science Neuroscience professional, you need a strong background in neuroscience, statistics, and programming, often supported by an advanced degree in neuroscience, data science, or a related field. Familiarity with data analysis tools such as Python, R, MATLAB, machine learning frameworks, and neuroimaging software like SPM or FSL is typically required. Critical thinking, problem-solving, and the ability to communicate complex findings clearly make individuals stand out in this interdisciplinary role. These skills are vital for effectively analyzing large-scale neural data, generating insights, and facilitating collaboration between data scientists and neuroscientists.

What is data science in neuroscience?

Data Science in Neuroscience involves applying computational, statistical, and analytical methods to study the brain and nervous system. Data scientists in this field analyze large-scale datasets, such as brain imaging, genomic, or behavioral data, to uncover patterns and insights about neural function and disorders. They use machine learning, data visualization, and other quantitative tools to advance understanding of the brain, support research, and aid in clinical decision-making. This interdisciplinary role requires knowledge of neuroscience, computer science, and statistics.
What are the most commonly searched types of Data Science Neuroscience jobs in Washington? The most popular types of Data Science Neuroscience jobs in Washington are:
What are popular job titles related to Data Science Neuroscience jobs in Washington? For Data Science Neuroscience jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Neuroscience jobs in Washington look for? The top searched job categories for Data Science Neuroscience jobs in Washington are:
What cities in Washington are hiring for Data Science Neuroscience jobs? Cities in Washington with the most Data Science Neuroscience job openings:
Data Science Neuroscience jobs near you
Infographic showing various Data Science Neuroscience job openings in Washington as of August 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% In-person 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 28 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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