Job Opportunities for Biomedical Engineers

August 31, 2016

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) is currently seeking three Biomedical Engineers (Program Officers) to manage its imaging agents, ultrasound, and image processing portfolios respectively.

Extramural grants account for approximately 80 percent of NIH’s $31 billion budget and are awarded to investigators throughout the U.S. and abroad. As a Biomedical Engineer/Program Officer, you will stimulate, plan, advise, direct, and evaluate program activities for a portfolio of research projects and programs.

Highly-qualified applicants from outside the NIH are encouraged to apply. The ideal candidate for this position will have a Ph.D. or equivalent degree, and expert professional knowledge in either the fields of ultrasound, imaging agents, or image processing, and experience demonstrating leadership and management skills.

The work site location is the Washington, D.C. suburb of Bethesda, Maryland. Salary will be competitive and commensurate with experience and excellent benefits will be provided. All applicants will receive consideration without regard to ethnicity, gender, national origin, age, religion, disability, or sexual orientation. The Department of Health and Human Services and NIH are Equal Opportunity Employers.

* The position will be advertised as a Biomedical Engineer to attract candidates with an engineering or physical science educational history.

To be considered, candidates must formally apply by visiting the links below:

Applications will be accepted until September 2, 2016

Biomedical Engineer-NIBIB-DE

Biomedical Engineer-NIBIB-MP

More about NIBIB’s imaging agent, ultrasound, and image processing program areas at

Imaging Agents and Molecular Imaging

This program supports development, optimization, and application of targeting imaging agents, imaging methods and related software/hardware for the detection of normal biological and pathophysiological processes in living subjects at the cellular and molecular levels. Imaging agents may include surface modified, molecular targeting or bioreactive nanoparticles, radionucleotide-labeled agents, theranostic agents, and high sensitivity/specificity molecular imaging approaches, etc. The goal of this program is to generate robust molecular imaging agents and platforms applicable to basic, preclinical and clinical research across all disease areas for better understanding of disease progression and therapeutic developments.

Ultrasound: Diagnostic and Interventional

The primary focus of this program is the improvement of technologies for diagnostic, interventional and therapeutic uses of ultrasound. The diagnostic ultrasound program includes, but is not limited to the design, development and construction of transducers, transducer arrays, and transducer materials, innovative image acquisition and display methods, innovative signal processing methods and devices, and optoacoustic and thermoacoustic technology. It also includes the development of image-enhancement devices and methods, such as contrast agents, image and data presentation and mapping methods, such as functional imaging and image fusion.

The interventional ultrasound program includes the use of ultrasound for therapeutic use, or as an adjunct for enhancement of non-ultrasound therapy applications. Examples include, but are not limited to, high-intensity focused ultrasound (HIFU) as a non-invasive or minimally invasive interventional surgical or therapy tool, and as an adjunct interventional tool. It also includes the use of ultrasound contrast agents for therapy and for targeted drug delivery, and the use of ultrasound for image-guided surgery, biopsy, and other interventions.

Image Processing, Visual Perception and Display

This program supports the design and development of algorithms for post-acquisition image processing and analysis. These algorithms include methods for image segmentation, image registration, atlas generation, morphometry measurement, and the determination of function and structure from medical images.

Also supported by this program is the development of theoretical models and analysis tools to evaluate and improve the perception of medical images. This may include diagnostic-performance evaluation, assessment of computer-aided diagnosis technologies, statistical models for evaluation of observer performance, and assessment of observer variability.Finally, this program supports research in the optimization of image display for improved detection


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