Biomedical AI Imaging Scientist

Kelly Government Solutions has an opening for a Biomedical AI Imaging Scientist to support the Integrated Research Facility at the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) in Frederick, MD. Role is estimated to support work arrangement that is primarily on-site with flexibility for remote work if/when authorized.

This is a long-term contract position which offers:

- Competitive compensation and comprehensive benefit package

- Optional health, vision, and dental plans

- Paid leave, paid federal holidays, and 401K plan.

- Access to NIH's unparalleled resources and niche scientific initiatives

KEY TASKS

(1) Support imaging scientists with acquisition of imaging data and conduct research as directed by NIAID involving and related to imaging and artificial intelligence in support of the Integrated Research Facility (IRF) in Frederick, MD

(2) Consult with scientific staff and NIAID leadership to ensure data meets scientific objectives; coordinate overall study logistics with other core laboratory services.

(3) Analyze and interpret imaging data from various modalities to support research studies on select agent viruses.

(4) Develop, train, and validate machine learning and deep learning models for image segmentation, feature extraction, and quantification tasks.

(5) Collaborate with the imaging team to design and implement new algorithms or modify existing ones to improve image analysis accuracy and efficiency.

(6) Generate reports and visualizations to communicate findings and trends in imaging data to researchers and stakeholders.

(7) Stay updated with advancements in AI and image analysis techniques relevant to biomedical research and apply this knowledge to enhance IRF capabilities.

(8) Work closely with the other functional area leads at the IRF to integrate imaging analysis results with other data for a comprehensive understanding of viral pathogenesis.

(9) Ensure compliance with all safety protocols and procedures while working in a BSL-4 environment.

(10) Provide guidance on experimental design and implementation and strives to quickly resolve problems; publish results in peer-reviewed journals.

(11) Communicate progress or problems with approved programs and projects to leadership.

KEY REQUIREMENTS

(1) Ph.D. in Computer Science, Biomedical Engineering, Bioinformatics, or a related field with a focus on artificial intelligence, machine learning, or image processing. Candidates possessing master's degree and relevant experience may also be considered.

(2) Experience analyzing multimodality imaging scans, such as parametric image analysis of MRI data

(3) Strong theoretical foundations in machine learning, deep learning, and image analysis techniques with experience working with biomedical imaging data.

(4) Proficiency in programming languages such as Python, R, or MATLAB along with experience using popular deep learning frameworks like TensorFlow, PyTorch, or Keras.

(5) Familiarity with biomedical imaging data and experience working with image processing libraries such as OpenCV or ITK-SNAP.

(6) Experience with radiomic feature extraction and application to machine learning, feature selection methods such as mRMR, and working with a high-performance computing environment and GitHub repositories