1

Machine Learning Neuroscience Jobs in Washington

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 ...

... neuroscience, leveraging insights made possible via quantitative approaches, including dynamical systems analysis, agent-based modeling, stochastic processes, machine learning, and recurrent and deep ...

next page

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 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.
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:
What cities in Washington are hiring for Machine Learning Neuroscience jobs? Cities in Washington with the most Machine Learning Neuroscience job openings:
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 Associate

Umd

College Park, MD • On-site

$75K - $90K/yr

Full-time

Posted 15 days ago


Job description

Job Description SummaryOrganization's Summary Statement:
The Laboratory for MicroTechnologies and the Neurobiology Lab at the University of Maryland are seeking a postdoctoral scientist to conduct biomolecular research. The researcher will join a multidisciplinary team working on a cell-based artificial nose (e-nose). E-nose technology is expected to have applications in a wide range of areas, including medical diagnostics, agriculture, the food and perfume industries, and public safety. The research is being performed collaboratively at the University of Maryland, College Park and the Anhydrobiosis Research Group in the National Institute of Agrobiological Sciences (NARO) in Tsukuba, Japan. It is anticipated that the researcher will work primarily at NARO (8-9 months/year) but also at UMD (3-4 months/year). There is no requirement to speak Japanese; NARO lab members speak English. The project is funded under the NSF program Emerging Frontiers in Research and Innovation: Engineered Living Systems (EFRI ELiS).
The researcher will work to optimize methods of inserting genes for olfactory receptors and genetically encoded fluorescent sensors into cell lines and to characterize odor responses using imaging techniques. Candidates should have a Ph.D. in cellular or molecular biology, or a similar field, and a background in modern molecular biology techniques, including cloning and expression systems and functional assays. The researcher will also provide input into the development of a portable device for artificial olfaction using machine learning to identify odorant signatures. The position provides the opportunity for contributing to research study design, working collaboratively and internationally, writing scientific manuscripts, giving presentations at conferences, and applying for intellectual property protection.
The A. James Clark School of Engineering at the University of Maryland catalyzes high-quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human condition. The Clark School is dedicated to leading and transforming the engineering discipline and profession, accelerating entrepreneurship, and transforming research and learning activities into innovations that benefit millions.
Minimum Qualifications:
Education: Ph.D. in cellular and/or molecular biology, or a similar field.
Experience: Experience with modern molecular biology techniques, including cloning and expression systems (such as CRISPR) and functional assays.
Physical Demands:
Must lift 5lbs - 10lbs
Using computer and keyboard
Sitting for periods of time
Standing for periods of time
Using lab or mechanical equipment
Use of non-flammable gas
Use of non-toxic chemicals
Bending
Kneeling
Twisting (head or neck)
No unusual physical or environmental demands.
Licenses/ Certifications: N/AAdditional Job Details

Required Application Materials: Cover letter, CV, list of references, and a research statement.

Best Consideration Date: April 15, 2026

Posting Close Date: N/A

Open Until Filled: Yes

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentENGR-Mechanical Engineering PMWorker Sub-Type Faculty RegularSalary Range$75,000 - $90,000
Benefits Summary

For more information on Regular Faculty benefits, select this link.

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 regardingdisclosablebackground checkinformation. 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 NoticeResources
  • Learn how military skills translate to civilian opportunities withO*Net Online

Search Firm Managed Recruitment

There are some positions that are not advertised on this career site as the search is being managed by a Search Firm.

Please visit the link below to see these available opportunities:

Search Firm Managed Vacancies