Artificial Intelligence Scientist

Overview

We are seeking an Artificial Intelligence Scientist to support the National Institutes of Health’s (NIH), world renowned National Institute of Allergy and Infectious Diseases (NIAID) in Frederick, MD. Our NIAID professional, technical, and scientific support personnel are part of a preeminent team focused on positively impacting millions of lives around the world with groundbreaking research. Candidates will work at a prominent and vibrant NIAID worksite to directly support exciting ongoing research activities as a contractor team member.

Accelerate your career and apply below to help us make a difference.

CAMRIS International is a dynamic clinical research and international development firm that achieves innovative solutions to health and development challenges through high-quality, cost-effective programs and research management services. We combine our proven systems with today’s most effective, evidence-based best practices. Our core practice areas include: clinical research; vaccine research, microbiology and infectious disease research, development and production; biodefense; global health security;

and HIV/AIDS programs.

Our employees enjoy a collegial environment where individual contributions matter at all levels. At CAMRIS, you will notably improve the lives of people at home and abroad.

• Coordinates with imaging scientists for acquisition of imaging data and conducts research as directed by the Government involving and related to imaging and artificial intelligence in support of IRF-Frederick.
• Consults with scientific staff and the Government to ensure data meets with scientific objectives. Coordinates overall study logistics with other core laboratory services.
• Plans, coordinates, and conducts approved projects at the direction of the Government.
• Analyze and interpret imaging data from various modalities to support research studies on select agent viruses.
• Develop, train, and validate machine learning and deep learning models for image segmentation, feature extraction, and quantification tasks.
• Collaborate with the imaging team to design and implement new algorithms or modify existing ones to improve image analysis accuracy and efficiency.
• Generate reports and visualizations to communicate findings and trends in imaging data to researchers and stakeholders.
• Stay updated with advancements in AI and image analysis techniques relevant to biomedical research and apply this knowledge to enhance IRF capabilities.
• 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.
• Ensure compliance with all safety protocols and procedures while working in a BSL4 environment.
• Publishes results in peer-reviewed, ideally high-impact, national and international journals.
• May direct day to day functions of IRF-Frederick scientific work; provides guidance on experimental design and implementation and strives to quickly resolve problems.
• Communicates progress or problems with approved programs and projects to IRF-Frederick contract and Government leadership.
• Provides written progress updates as stated in Reports and Deliverables section (Delivery Schedule).

• Ph.D. or Master's degree in Computer Science, Biomedical Engineering, Bioinformatics, or a related field with a focus on artificial intelligence, machine learning, or image processing.
• Strong theoretical foundations in machine learning, deep learning, and image analysis techniques with experience working with biomedical imaging data is desired.
• Proficiency in programming languages such as Python, R, or MATLAB, along with experience using popular deep learning frameworks like Tensor Flow, PyTorch, or Keras.
• Familiarity with biomedical imaging data and experience working with image processing libraries such as OpenCV or ITK-SNAP.
• Experience with deep learning-based image segmentation having coding knowledge of MONAI framework, nnUNet, PyTorch and python statistical analysis tools.
• Experience developing automated image processing pipelines.
• Expert knowledge of high-performance computing environment (e.g., SLURM) and usage of…