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Machine Learning Neuroscience Jobs in Washington

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science, data analytics, research analytics, BI, or machine learning project experience. * Hands-on Python ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science, data analytics, research analytics, BI, or machine learning project experience. * Hands-on Python ...

Howard University

Assistant Professor

Washington, DC · On-site

... AI and machine learning approaches in biomedical sciences. The cluster seeks to advance ... Development of mathematical and computational methods for imaging, neuroscience, endocrinology ...

CRDF Global

Emerging Technology Experts

Arlington, VA · On-site

Artificial Intelligence and Machine Learning in the EAP and EUR regions, where R&D activities ... Neuroscience, smart city infrastructure risks (risk of surveillance backdoors), energy storage ...

Umd

Experimental Psychologist

College Park, MD

$150K - $200K/yr

... intelligence / machine learning, quantum science, and human-machine teaming. Researchers ... Master's or PhD in human factors psychology, experimental psychology, cognitive neuroscience, or ...

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Machine Learning Neuroscience information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do machine learning neuroscience jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning neuroscience in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Neuroscience job?

A Machine Learning Neuroscience job involves using machine learning techniques to analyze and model neural data, helping to understand brain function or improve neurotechnology. Professionals in this field work at the intersection of artificial intelligence, neuroscience, and data science, often developing algorithms to interpret neural signals or enhance brain-computer interfaces. Roles can be found in academia, healthcare, and tech industries, contributing to research, diagnosis, or neuroadaptive systems. Strong skills in programming, statistics, and neuroscience fundamentals are typically required.

What are the key skills and qualifications needed to thrive in the Machine Learning Neuroscience position, and why are they important?

To thrive in a Machine Learning Neuroscience role, you need a solid background in neuroscience, advanced machine learning methods, statistical analysis, and preferably a graduate degree in a related field. Experience using programming languages such as Python or MATLAB, along with tools like TensorFlow, PyTorch, and neuroimaging platforms, is highly desirable. Strong analytical thinking, effective communication, and the ability to work collaboratively across interdisciplinary teams are vital soft skills. These competencies enable professionals to develop impactful models, interpret complex brain data, and drive innovative research or clinical applications in neuroscience.

What are the typical daily tasks and team dynamics for someone working in a Machine Learning Neuroscience role?

In a Machine Learning Neuroscience position, your daily activities might include designing and running algorithms on neurological datasets, interpreting results, refining models, and collaborating with neuroscientists and clinicians. You’ll often work closely with cross-functional teams, contributing technical expertise to research studies or healthcare projects. Regular team meetings, data discussions, and collaborative problem-solving are a central part of the work environment. This collaborative structure fosters innovative ideas and ensures that machine learning approaches are well-suited to real-world neuroscience challenges.
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Machine Learning Neuroscience jobs near you
Infographic showing various Machine Learning Neuroscience job openings in Washington as of May 2026, with employment types broken down into 14% Full Time, 78% Part Time, 5% Contract, 2% Nights, and 1% Summer. Highlights an 41% Physical, 56% Hybrid, and 3% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Post doctoral researcher in Statistics

Post doctoral researcher in Statistics

University Of Maryland Baltimore County

Catonsville, MD

Full-time

Posted 7 days ago

Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Foundations of digital twins and uncertainty quantification, with applications to neuroscience problems."
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in statistics, biostatistics, machine learning, or a related field before their appointment start date. Successful candidates are expected to conduct research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of statistics and data science may apply. Our interests include but are not limited to high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; optimization theory and numerical optimization with applications to data science; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158801

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