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Machine Learning Neuroscience Jobs in Washington

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 ...

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 ...

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

Artificial Intelligence and Machine Learning in the EAP and EUR regions, where R&D activities ... Other Priority Dual-Use Sectors Neuroscience, smart city infrastructure risks (risk of surveillance ...

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 ...

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

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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Showing results 1-20

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 7, 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 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:
Infographic showing various Machine Learning Neuroscience job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Affective Neuroscience Assistant Research Scientist

Affective Neuroscience Assistant Research Scientist

University of Maryland

College Park, MD • On-site

Full-time

Posted 27 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

224th of 544 rated colleges and universities


Job description

Job Description Summary
Organization's Summary Statement:
The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent.
ARLIS research is driven by a cadre of research scientists and engineers, faculty research specialists and project engineers, further supported by senior University of Maryland faculty and a consortium of university partners. Research is typically conducted through teams of e.g. social scientists, computer scientists, psychologists, linguists, cognitive neuroscientists, applied mathematicians, political scientists, policy analysts, and systems engineers.
The Assistant Research Scientist will contribute to interdisciplinary human subject research projects within ARLIS, with a focus on neurophysiological measurement techniques including functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). This role supports ARLIS's mission to advance applied research in human performance, cognition, and emotion science in support of national security and defense. Scientists in this role will design, conduct, analyze, and publish experimental studies and contribute to broader research programs in experimental psychology and neuroscience.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history.
Key Responsibilities
- Design and conduct research studies involving fNIRS and EEG with human subjects
- Implement experimental protocols rooted in emotion and cognitive psychology
- Recruit, consent, and manage research participants in compliance with IRB protocols
- Analyze complex neurophysiological and behavioral datasets using statistical methods
- Collaborate with interdisciplinary teams and contribute to publications, reports, and briefings
- Apply open science practices and maintain thorough documentation of procedures
- Participate in internal reviews, sponsor briefings, and project planning meetings
- Assist in grant writing and funding proposal development as needed
Minimum Qualifications
- Doctoral degree (Ph.D. preferred) in Psychology, Neuroscience, Cognitive Science, or a related field
- At least 1 year of hands-on experience conducting fNIRS and/or EEG research with human participants
- Familiarity with experimental design, data collection, and analysis in emotion or cognitive research
- Experience with human subjects research protocols and compliance
Knowledge, Skills, and Abilities
- Expertise in EEG and/or fNIRS methodology
- Strong foundation in experimental psychology and human subjects research methods
- Familiarity with emotion research, especially in applied or experimental contexts
- Ability to work independently and as part of a cross-functional team
- Statistical analysis skills, including multilevel modeling (MLM), regression, and/or machine learning
- Proficiency in scientific programming (R and/or Python preferred)
- Strong written and oral communication skills for technical and non-technical audiences
- Commitment to ethical research, continuous learning, and team collaboration
Physical Demands:
- Primarily sedentary work in a professional office or lab environment
- Regular use of computers and laboratory equipment
- In-person attendance at research study sessions and participant training required
- Occasional travel for conferences or site coordination
Preferences:
- Experience with multivariate statistical analysis
- Proficiency in R and/or Python for data analysis and visualization
- Experience analyzing emotion-related or affective neuroscience data
- Demonstrated interest in applying research to defense, intelligence, or operational contexts
-Active TS/SCI clearance
Licenses/ Certifications:
- No licenses required
- IRB and human subjects research training (e.g., CITI certification) preferred
Minimum Qualifications
This rank is generally parallel to Assistant Professor. Appointees shall have demonstrated superior scientific research ability. Appointees should be qualified and competent to direct the work of others (such as technicians, graduate students, other research personnel). An earned doctoral degree will be a normal minimum requirement for appointment at this rank.
Additional Job Details
Required Application Materials: Cover Letter, Resume, List of References
Best Consideration Date: N/A
Posting Close Date: N/A
Open Until Filled: Yes
Salary Range $58,656 - $252,289
Department
VPR-Applied Research Lab for Intelligence & Security
Worker Sub-Type
Faculty Regular
Salary Range
$58,656 - $252,289
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice
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