Company Overview
Evon Medics, LLC is focused on developing and delivering breakthrough therapeutics and devices to address brain-related conditions and functions including: improvement of cognitive function in pre-Alzheimer’s conditions such as mild cognitive impairment (MCI), prevention of progressive neurodegeneration in early Alzheimer’s disease, and regulation of emotional instability in neurodegenerative diseases. Our research development efforts also focus on innovative methodologies and applications for restoration of brain function following traumatic head injuries, prevention of relapse during recovery from opioid addiction, treatment of chronic pain, and rapid enhancement of mood in treatment-refractory depression.
About the job
Evon Medics, LLC is a leading medical device and neuroscience research company dedicated to developing groundbreaking therapies for Alzheimer’s Disease, Opioid Use Disorder, Traumatic Brain Injury, Chronic Pain, and other neurological conditions. As part of our mission, advanced neuroimaging techniques, including MRI, fMRI, PET, and other imaging modalities, are critical to our research and development.
We are seeking an experienced Neuroimaging & Image Processing Engineer who specializes in processing and analyzing neuroimaging data. This role involves working with large-scale MRI, fMRI, and PET datasets to extract meaningful insights that drive innovation in our cutting-edge research and medical device development.
Job Description:
As a Neuroimaging & Image Processing Engineer, you will work closely with our neuroscience, R&D, and clinical research teams to develop and implement advanced imaging analysis pipelines for MRI, fMRI, PET, and other neuroimaging modalities. You will be responsible for processing, analyzing, and interpreting complex neuroimaging datasets, contributing to groundbreaking research in neurological disease diagnostics and treatment development. In addition to developing cutting-edge image processing algorithms, you will play a key role in designing computational models, optimizing data workflows, and ensuring compliance with research and clinical standards. Collaboration with cross-functional teams, including biomedical engineers, neuroscientists, and clinicians, will be integral to integrating imaging findings into ongoing research and device development projects. The ideal candidate is a highly skilled and independent expert in neuroimaging analysis, comfortable working with large datasets, implementing AI-based solutions, and advancing state-of-the-art imaging techniques.
Key Responsibilities:
Image Processing & Analysis
- Develop, implement, and optimize advanced image processing algorithms for MRI, fMRI, PET, and other neuroimaging data.
- Perform statistical analysis, segmentation, filtering, and preprocessing of imaging datasets.
- Conduct MR bias correction, histogram analysis, and principle axis transformation for enhanced image interpretation.
- Implement image registration, surface fitting, and reconstruction techniques for accurate visualization.
- Data Interpretation & Research Support
- Analyze neuroimaging datasets to derive quantitative insights supporting R&D projects.
- Develop pipelines for automated processing and reproducibility in imaging workflows.
- Collaborate with neuroscience and engineering teams to integrate imaging results into research findings.
- Technical Expertise & Development
- Work with machine learning and AI-based approaches for neuroimage analysis.
- Maintain and enhance processing tools for large-scale neuroimaging datasets.
- Ensure compliance with HIPAA and research standards when handling patient imaging data.
Qualifications:
Education & Experience
- Master’s or PhD in Biomedical Engineering, Computer Science, Medical Imaging, Neuroscience, or a related field.
- 5+ years of experience in neuroimaging data processing, analysis, and interpretation.
Technical Skills
- Strong expertise in MRI, fMRI, PET, and CT image processing.
- Experience with neuroimaging toolkits such as SPM, FSL, FreeSurfer, ANTs, AFNI, ITK, or similar.
- Proficiency in Python, MATLAB, or C++ for image analysis and algorithm development.
- Hands-on experience with image segmentation, registration, and statistical modeling.
- Strong understanding of signal and image processing techniques used in medical imaging.
Preferred Skills
- Familiarity with machine learning techniques applied to medical imaging.
- Knowledge of cloud computing for large-scale imaging datasets (AWS, Google Cloud).
- Previous experience working in healthcare, clinical trials, or neuroscience research is a plus.
How to Apply:
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