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Machine Learning Neuroscience Jobs (NOW HIRING)

American Society for Experimental Neurotherapeutics

$100 - $180/hr

Expertise in computational modeling, machine learning, predictive analytics, biomarker development, or translational neuroscience #J-18808-Ljbffr

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Machine Learning Neuroscience information

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$25.5K

$42.6K

$88K

How much do machine learning neuroscience jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning neuroscience in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning neuroscience?

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.

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.

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, deep learning, and statistical models to interpret complex biological signals and advance understanding of the nervous system.
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What are the most commonly searched types of Machine Learning Neuroscience jobs?

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What states have the most Machine Learning Neuroscience jobs?

States with the most job openings for Machine Learning Neuroscience jobs include:

What job categories do people searching Machine Learning Neuroscience jobs look for?

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Machine Learning Neuroscience jobs near you
Infographic showing various Machine Learning Neuroscience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Assistant Professor of Neurobiology

Harvard University

Boston, MA • On-site

$162 - $219/hr

Other

Posted 5 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities

Job description

The Department of Neurobiology at Harvard Medical School ( HMS ) and the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University invite applications for a tenure track position with a rank of Assistant Professor. We seek outstanding candidates working in the field of computational neuroscience, broadly defined, whose work will advance the mission of both institutions, and who would be a member of both institutions’ faculty and establish a physical laboratory research program at both institutes. We seek to recruit a computational researcher with expertise in machine learning and mathematical modelling whose work addresses theoretical and computational topics in neuroscience and impacts our understanding of both natural and artificial intelligence. The applicant’s research may also include an experimental program component to be housed on the HMS campus. This position offers outstanding scholarly and scientific resources in a collegial and collaborative department with strong ties to related departments throughout Harvard University, the Harvard-affiliated teaching hospitals, and the Boston neuroscience and machine learning communities. The position provides the opportunity to join a growing coalition of researchers across the Harvard ecosystem interested in the organization and function of neural circuits using computational approaches. The position also offers the opportunity to teach exceptional graduate and medical students with strong interests in neuroscience, machine learning, and related fields. Candidates must have a Ph.D., M.D. or equivalent graduate degree. Only candidates applying for their first faculty position will be considered.

Additional Qualifications

If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.

Salary Range

Expected annual salary: Approximately $190,000, based on experience and qualifications.

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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