Bioinformatics Analyst IV

Frederick National Laboratory for Cancer Research
Frederick, MD
Jun 14, 2019
Jun 21, 2019
Full Time
The Advanced Biomedical and Computing Sciences (ABCS) is part of the Biomedical Informatics and Data Science directorate at Frederick National Laboratory for Cancer Research. The ABCS supports the biomedical mission of the NCI and NIH by providing technology development, scientific consultation and collaboration, scientific application development, data analysis and management, training, and other research services to the NCI and NIH scientists and staff. The Imaging and Visualization Group supports a broad range of scientific disciplines at Frederick National Lab and the National Cancer Institute. It also pursues technology development projects in areas such as digital pathology, radiomics, machine learning, and integrated systems for image analysis. KEY ROLES/RESPONSIBILITIES-THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL Lead projects and provide expert consultation for machine learning applications in digital pathology Apply advanced analytic models and machine learning algorithms to current projects relevant to clinical workflows Serve as an interface between pathologists and the computational scientists within ABCS Develop training modules for FNL and NCI communities in the application of ML/DL models to biomedical imaging science Work closely with other FNL and NCI teams to coordinate activities and develop collaborative projects BASIC QUALIFICATIONS Possession of a Bachelor's degree in biomedical imaging, computational biology, data science or a related field from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience and certifications may be substituted for the required education). Foreign degrees must be evaluated for US equivalency In addition to the educational requirements, a minimum of Eight (8) years of experience in imaging science, computational science, quantitative science, medical applications, etc. Deep knowledge in pathology (especially digital pathology), radiomics, or related scientific area Knowledge in scripting languages and Unix/Linux OS scripting Strong drive and initiative to advance machine learning applications in biomedical imaging Demonstrated ability to learn and apply new technologies according to the changing needs of the project and organization Able to work on initiatives independently and in a highly collaborative environment Strong work ethics, organized, detail oriented and focused on results Strong verbal and written communication skills Must be able to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Master's or Ph. D in Computational Science, Biomedical Informatics, or related field Knowledge of the biomedical domain, especially cancer research and pathology Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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