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Assistant Neuroscience Startup Jobs (NOW HIRING)

Assistant Professor Apply now Back to search results Job no: 537509 Work type: Teaching & Research ... startup packages will be provided. Established in 2015, the School of Neuroscience is a ...

Executive Assistant

San Francisco, CA · On-site

$80 - $100/hr

Comfort working in a fast-paced startup environment where priorities may change quickly. * A ... Excitement about AI, neuroscience, brain-computer interfaces, or other frontier technologies.

Comfort working in a fast-paced startup environment where priorities may change quickly. * A ... Excitement about AI, neuroscience, brain-computer interfaces, or other frontier technologies.

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Assistant Neuroscience Startup information

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$10

$67

$125

How much do assistant neuroscience startup jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for assistant neuroscience startup in the United States is $67.68, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $92.31 per hour, depending on experience, location, and employer.
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Infographic showing various Assistant Neuroscience Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $140,766 per year, or $67.7 per hour.

Assistant/Associate Professor of Translational Neuroscience

American Society for Experimental Neurotherapeutics

On-site

$125 - $150/hr

Other

Posted 5 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
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