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Mri Machine Learning Faculty Jobs (NOW HIRING)

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How much do mri machine learning faculty jobs pay per year?

As of Sep 10, 2026, the average yearly pay for mri machine learning faculty 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.

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Infographic showing various Mri Machine Learning Faculty job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Faculty Professor

Albuquerque, NM • On-site

Lovelace Biomedical Research Institute
Pharmaceutical and Medicine Manufacturing • 501 - 1,000 employees

Full-time

Re-posted 3 days ago


Lovelace Biomedical rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


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.

Research Areas of Interest

Candidates research should use multimodal neuroimaging—including MEG and/or MRI to investigate:

  • Neurodevelopment and brain maturation
  • Sleep, circadian rhythms, and brain health
  • Psychiatric and behavioral neuroscience
  • Translational neuroscience, including human neuroimaging, clinical investigation, and mechanistic or nonclinical model systems
  • Predictive biomarkers and precision neuroscience
  • Computational neuroscience, neuro-informatics, and machine learning

Researchers working in related areas that leverage advanced neuroimaging, computational methods, mobile MRI, or multidisciplinary collaborations are also encouraged to apply.

A Unique Research Setting

Albuquerque offers access to diverse urban, rural, tribal, and underserved populations, supporting innovative community-engaged, longitudinal, and translational neuroscience research while providing an exceptional quality of life.


  • 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.  Must have 4 to 7 years of experience at the Associate Professor level as well as 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 Required.

  • 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

Work is performed in a dry laboratory environment.  Will operate standard office equipment and will frequently stand, walk, sit, perform desk-based computer tasks, use a telephone, perform repetitive motions and occasionally lift objects that weigh up to 20 pounds.  May interact with research participants.
The above is intended to describe the general requirements for the position and should not be interpreted as an exhaustive statement of physical requirements.  The Institute will provide reasonable accommodation to any employee with a disability who requires an accommodation to perform the essential functions of the position.


Salary is commensurate with experience.

Lovelace Biomedical is an Equal Opportunity Employer


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