Artificial Intelligence Scientist

We are seeking an Artificial Intelligence Scientist to support the National Institutes of Healths (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 todays 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 Masters 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 TensorFlow 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 GitHub repositories MLOps.
• Excellent problem-solving skills attention to detail and ability to work in a fast-paced environment both independently and as a team.
• Strong communication and collaboration skills with the ability to effectively convey complex technical information to both technical and non-technical stakeholders.
• Experience working in a biosafety level 3 (BSL3) or higher laboratory environment is highly desirable.
• Ability to obtain Tier 3 clearance recommended.

Physical Requirements:

The physical requirements described here are representative of those that must be met by a candidate to perform the essential functions of this job. Reasonable accommodations may be provided to enable individuals with disabilities to perform essential job functions.

• Ability to lift or carry less than 25 pounds lift or carry 25 50 pounds push or pull less than 25 pounds push or pull 25 45 pounds push or pull more than 45 pounds reach above shoulder level and use both hands.
• Will be required to stand or walk more than 25 of 30 min. bend repeatedly kneel crawl and climb.
• Must have depth perception have correctable near vision distinguish basic colors and perform repetitive activities.
• Ability to work alone and closely with others.

Please submit your resume online at . CAMRIS is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veteran status disability status or any other characteristic protected by any applicable federal state or local law.

CAMRIS offers a comprehensive benefits package including medical dental and vision insurance for individuals and families FSAs HSA life and AD&D insurance short- and long-term disability legal services voluntary hospital indemnity critical illness and accident insurances EAP pet insurance 401(k) with employer match and Roth option tuition and professional reimbursement public transportation support in the DMV area a referral bonus program vacation with tenure-based increases PTO 11 paid holidays paid bonding leave and paid supplemental short-term disability.

Employment is contingent upon successful completion of a Public Trust-level background check a requirement for this position under an active federal contract. The background check process may include but is not limited to the following: (1) contacting your professional references; (2) verification of previous employment education and credentials; (3) a criminal background check; (4) use/abuse of federally-controlled substances; and (5) a department of motor vehicle check. Candidates must be prepared to fully-complete any required background check questionnaire during initial onboarding.