Research Scientist

AMEN CLINICS, INC., A MEDICAL CORPORATION•Costa Mesa, CA

15h•Hybrid

About The Position

We are seeking a PhD-level Research Scientist to support advanced neuroimaging research focused on functional brain imaging in psychiatric and neurobehavioral conditions. This position emphasizes the analysis of SPECT brain imaging data, the integration of clinical and behavioral measures, and the development of reproducible statistical and machine-learning workflows that support both scientific discovery and clinically meaningful translation. The successful candidate will contribute to a multidisciplinary research environment involving clinicians, scientists, and technical teams. Responsibilities include neuroimaging data processing, statistical modeling, predictive analytics, scientific communication, and the development of reproducible pipelines and documentation. This role is well-suited for an independent and collaborative researcher with expertise in neuroimaging methods, psychiatric research, and quantitative analysis.

Requirements

PhD in neuroscience, neuroimaging, biomedical engineering, psychology, data science, biostatistics, computer science, or a related quantitative or biomedical field.
Demonstrated experience in neuroimaging research, including image processing and statistical analysis.
Experience with functional brain imaging data, ideally including SPECT, PET, or MRI/fMRI.
Proficiency in one or more scientific programming languages such as Python, MATLAB, or R.
Experience with neuroimaging analysis tools or frameworks such as SPM, FSL, AFNI, Nilearn, or related platforms.
Experience applying statistical modeling and/or machine learning methods to biomedical or imaging data.
Strong written and verbal communication skills, including scientific writing and presentation.
Ability to work both independently and collaboratively in a multidisciplinary research setting.

Nice To Haves

Experience working with psychiatric, behavioral, or clinical neuroscience datasets.
Familiarity with voxelwise analysis, region-based imaging analysis, and multivariate modeling approaches.
Experience integrating imaging features with clinical, cognitive, or behavioral measures.
Knowledge of reproducible research practices, code documentation, version control, and workflow standardization.
Experience contributing to peer-reviewed publications and conference presentations.
Familiarity with interpretable machine learning methods and predictive modeling in healthcare or biomedical research.
Experience working with large, multi-site, or real-world clinical datasets.