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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 ...

Umd

Experimental Psychologist

College Park, MD · On-site

$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 ...

Umd

Post Doctoral Associate

College Park, MD

$75K - $90K/yr

The Laboratory for MicroTechnologies and the Neurobiology Lab at the University of Maryland are ... machine learning to identify odorant signatures. The position provides the opportunity for ...

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All JobsMachine Learning Neuroscience JobsMachine Learning Neuroscience Jobs in Washington

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 Jul 27, 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 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 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 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.

How much do machine learning engineers make in neuroscience?

Machine learning engineers working in neuroscience typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Advanced skills in deep learning, data analysis, and programming languages like Python or MATLAB are often required, and roles may involve research environments or biotech companies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in technology companies or research institutions offering top-tier compensation packages.

Which 3 jobs will survive AI?

Machine Learning Neuroscience professionals are likely to continue in roles that require complex problem-solving, creativity, and understanding of human cognition, such as research scientists, clinical neurotechnologists, and AI ethics specialists. These roles depend on specialized knowledge, critical thinking, and interdisciplinary skills that are less susceptible to automation. Continuous learning and expertise in neuroscience and AI tools will help ensure job security in this field.

Is machine learning used in neuroscience?

Machine learning neuroscience involves applying machine learning techniques to analyze neural data, model brain functions, and develop brain-computer interfaces. Professionals in this field use tools like neural networks, statistical models, and programming languages such as Python or MATLAB to interpret complex biological signals. It is a growing area that combines expertise in neuroscience, data science, and machine learning algorithms.
What are the most commonly searched types of Machine Learning Neuroscience jobs in Washington? The most popular types of Machine Learning Neuroscience jobs in Washington are:
What are popular job titles related to Machine Learning Neuroscience jobs in Washington? For Machine Learning Neuroscience jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Neuroscience jobs in Washington look for? The top searched job categories for Machine Learning Neuroscience jobs in Washington are:
Machine Learning Neuroscience jobs near you
Infographic showing various Machine Learning Neuroscience job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% 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

Baltimore, MD • On-site

Full-time

Posted 12 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
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.

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