Research Engineer

Dormont Manufacturing Co; California (MO); On-site; USD 89,291 - 99,000; Full time

Job summary

Dormont Manufacturing Co seeks a full-time Research Engineer to assist with neurodegenerative disorder projects. You will handle data processing, apply machine learning and generative AI, and visualize data for model interpretability.

The ideal candidate holds a Master’s degree with 3+ years of experience in neuroimaging and machine learning. Join a multidisciplinary team to contribute to advancements in brain mapping, particularly in aging and Alzheimer’s disease research.

Qualifications

• Strong understanding of machine learning and deep learning applications.
• Experience with large‑scale neuroimaging and genetics data.
• Proficiency in oral and written communication for scientific contributions.
• Experience with supervising student workers.
• Experience designing, developing, and maintaining ML pipelines for neuroimaging.

Responsibilities

• Work with large‑scale databases to identify brain decline trajectories.
• Document methodologies publicly on GitHub.
• Train colleagues in various methodologies.
• Prepare and write conference papers and manuscripts.

Skills

Machine learning

Deep learning for biomedical imaging

Data visualization

Image processing

Statistical analysis

Education

Master’s Degree in Electrical Engineering or related field

Doctorate (preferred)

Tools

Python

MATLAB

R

C/C++

TensorFlow

PyTorch

Keras

Job description

Overview

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI) leads advanced computational and scientific approaches for mapping brain structure and function. Our multidisciplinary environment integrates clinical, psychological, and genotypic information with neuroimaging phenotypes to answer questions in neurology, psychiatry, and developmental neurobiology.

We are recruiting a full‑time Research Engineer to assist with projects related to neurodegenerative disorders. The role involves data processing, analysis, application of machine learning, generative AI, and ensemble integration methods, data visualization for model interpretability, and preparation of abstracts, conference papers, and manuscripts.

Responsibilities

The primary responsibilities include working with large‑scale databases to identify trajectories of brain decline, documenting methods publicly on GitHub, training colleagues in the methodologies, and writing conference papers and manuscripts. The candidate will work within the scope of funded projects, including but not limited to brain mapping in aging and Alzheimer’s disease.

Required Qualifications

• Master’s Degree in Electrical Engineering, Biomedical Engineering, Computer Science, or Data Science and 3+ years of experience in neuroimaging.
• Strong understanding of machine learning, deep learning for biomedical imaging, computer vision, generative AI, ensemble integration of artificial intelligence methods, statistics, and image processing.
• Experience working with large‑scale neuroimaging and genetics data.
• Proficiency in oral and written communication as demonstrated by contributions to scientific conferences and related presentations.
• Experience supervising assigned student workers for project completion.
• Experience designing, developing, and maintaining pipelines/tools using machine learning and deep learning for neuroimaging applications.
• Knowledge of data visualization and various data analytics tools and libraries.

Preferred Qualifications

• 5+ years of experience in applications of AI in neuroimaging.
• Experience in projects related to aging of the brain to predict the structure of the brain as a function of sociodemographic and genetic factors.
• Experience building raw or segmented MR image quality assessment tools using machine learning and deep learning.
• Experience with synthetic data generation using generative models for harmonization of imaging data from multiple sources/sites using deep generative networks.
• Knowledge of ML models for classification and regression, deep learning networks such as CNNs, RNNs, autoencoders, generative models like GANs, diffusion models, and vision transformers.
• Experience writing and distributing code in Python, R, MATLAB, C/C++, or similar languages.
• Experience with ML frameworks such as PyTorch, TensorFlow, and Keras.
• Contributions to ISBI, ISMRM, OHBM, MICCAI, SIPAIM, EMBC, or other AI in medical imaging and related conferences.

Education and Experience

• Minimum Education: Master’s degree in Engineering or related field(s).
• Minimum Experience: 3 years.
• Preferred Education: Doctorate.
• Preferred Experience: 5 years.

Salary

The annual base salary range for this position is $89,291.89 – $99,000.00.

Equal Opportunity Employment

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy.

USC observes affirmative action obligations consistent with state and federal law and will consider applicants with criminal records in a manner consistent with applicable laws, including the Los Angeles County Fair Chance Ordinance.

Accommodations

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring accommodation should contact USC Human Resources by phone at [phone], or by email at [e-mail]. Inquiries will be treated as confidential to the extent permitted by law.

Additional Information

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