1

Machine Learning Neuroscience Research Assistant Jobs

D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research ...

Our founding team spans machine learning, neuroscience, and neurotechnology, with prior work ... Our work sits at the frontier of AI research, and we believe the highest-impact discoveries will ...

Showing results 21-40

Machine Learning Neuroscience Research Assistant information

See salary details

$8

$21

$31

How much do machine learning neuroscience research assistant jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning neuroscience research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Neuroscience Research Assistant vs Data Science Research Assistant?

AspectMachine Learning Neuroscience Research AssistantData Science Research Assistant
Required CredentialsRelevant neuroscience, machine learning, or data analysis background; often a bachelor's or master's degreeBackground in data science, statistics, or computer science; similar educational requirements
Work EnvironmentResearch labs, academic institutions, neuroscience or AI-focused organizationsResearch institutions, tech companies, or academic settings
Industry UsagePrimarily in neuroscience, cognitive science, and AI researchAcross various industries including tech, healthcare, and finance

The main difference between a Machine Learning Neuroscience Research Assistant and a Data Science Research Assistant lies in their focus areas. The former specializes in applying machine learning techniques to neuroscience research, often working within academic or neuroscience labs. The latter has a broader data analysis role across industries, with less emphasis on neuroscience. Both roles require similar educational backgrounds and work environments, but their specific applications and research focus differ.

What are popular job titles related to Machine Learning Neuroscience Research Assistant jobs?

For Machine Learning Neuroscience Research Assistant jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Neuroscience Research Assistant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Assistant/Associate Professor of Translational Neuroscience

On-site

American Society for Experimental Neurotherapeutics

Other

Posted 9 days ago


Job description

The Mind Research Network (MRN), in partnership with Lovelace Biomedical Research Institute (LBRI), invites applications for a faculty position in translational neuroscience. The successful candidate will join a team of outstanding investigators who are eager to shape the future of translational neuroscience through collaborative, high-impact research that advances the understanding, diagnosis, prevention, and treatment of brain and behavioral disorders.

Recruitment is focused on exceptional investigators at the advanced assistant professor or associate professor level, although appointment and rank will be commensurate with qualifications and experience.

This recruitment coincides with the installation of a new MEGIN TRIUX neo magnetoencephalography (MEG) system, further expanding MRN's world-class neuroimaging capabilities. The TRIUX neo complements MRN's research-dedicated Siemens Prisma 3T MRI, research-dedicated mobile MRI program, and advanced neuro-informatics resources, creating an exceptional environment for innovative, multimodal translational neuroscience research.

We seek an innovative, collaborative investigator with an established or emerging independent research program who will leverage MRN's advanced neuroimaging infrastructure, multidisciplinary research community, and strategic partnerships to build a nationally recognized translational neuroscience program.

The successful candidate will join a highly collaborative scientific community where research spans advanced neuroimaging, computational neuroscience, biomarker discovery, mechanistic neuroscience, clinical investigation, and nonclinical model systems. Close collaborations across MRN, Lovelace Biomedical Research Institute, and the University of New Mexico create unique opportunities to integrate human neuroimaging with mechanistic studies, biomarker discovery, and clinical research while developing innovative, high-impact collaborative programs.

Startup package and the period of guaranteed support are negotiable.

  • Ph.D., M.D., or equivalent doctoral degree in Neuroscience, Psychology, Psychiatry, Neurology, Developmental Neurobiology, Biomedical Engineering, Cognitive Science, Public Health, or a related field and 12+ years of experience or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained.
  • Experience with external grant funding, publishing and national recognition.
  • Demonstrated success obtaining competitive extramural funding with a strong trajectory toward sustained federal support. Active federal funding is preferred.
  • Experience conducting multimodal neuroimaging research utilizing MRI, MEG, EEG, or related methodologies
  • Experience with longitudinal cohorts, developmental or clinical populations, community-based research, or large-scale datasets
  • Expertise in computational modeling, machine learning, predictive analytics, biomarker development, or translational neuroscience
#J-18808-Ljbffr