Careers

The NIBIB Office of Scientific Review (OSR) is recruiting one Scientific Review Officer with a background in bioengineering (tissue, organ, synthetic biology, point of care technologies). The OSR is responsible for managing the peer review of a wide range of applications and programs including special NIBIB, Common fund and BRAIN initiatives. The OSR also participates in the review of the joint NSF-NIH programs like Cyber Physical Systems and National Robotic Initiative. Last year the OSR conducted the review of NIH Technology Accelerator Challenge (NTAC) initiative aimed to promote the development of Non-invasive Diagnostics for Global Health, and particularly for sickle cell disease, malaria and anemia, diseases with high global and public health impact. The NTAC proposal review process involved unconventional review approach. The OSR routine program reviews normally cover a range of activity codes including: Research Career Development Awards (K-awards), Institutional Research Training Programs (T32, T35), Support for Development and Implementation of Education Projects and Training (R25), Research Conference Support (R13), NIH Loan Repayment Program (LRP), National Centers for Biomedical Imaging and Bioengineering (P41), and other special initiatives (PARs, RFAs) that fall within the scientific mission of the NIBIB.

To be considered for these positions, you will need to apply to the Global Recruitment announcement at USA Jobs.  he global announcement opened on Monday, September 20,2021 and will close on Wednesday, September 29, 2021.

Delegated Examining (Open to the Public)

• GS-12/13/14 Health Scientist Administrator (Program Officer/Scientific Review Officer)  

Merit Promotion (Open to Status Candidates)

• GS-12/13/14 Health Scientist Administrator (Program Officer/Scientist Review Officer)

For additional information about this position, please contact Manana Sukhareva
 

The Imaging Sciences Training Program (ISTP), at the National Institutes of Health, jointly sponsored by Radiology and Imaging Sciences (RAD) in the Clinical Center and the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB), is accepting applications for one to two-year fellowship positions on a rolling admission basis. This program provides an excellent opportunity for individuals who plan a research career in imaging and biomedical sciences.

This ISTP provides opportunities in clinical, translational and basic imaging research available in Radiology and Imaging Sciences, Nuclear Medicine, Positron Emission Tomography, Interventional Radiology Laboratory and Molecular and Cellular Imaging. The program spans research in all aspects of clinical and basic imaging sciences. Applicants can choose to work in research areas including: neuroimaging, interventional, oncological, vascular, metabolic imaging and computer-aided diagnosis using various imaging techniques. There are bench-to-bedside research opportunities in MRI/MRS, MR microscopy, PET radiochemistry, contrast agent development, cellular and molecular imaging, high intensity focused ultrasound, and targeted drug delivery, and innovative image processing and visualization algorithms. Qualified applicants will also be able to have clinical exposure to a unique research patient population found at the NIH. Fellows in the ISTP will have access to state-of-the-art imaging and computer facilities dedicated to research found in the Clinical Center, In Vivo NMR Research Center, and various basic science laboratories. Collaboration with imaging scientists on the NIH campus will be encouraged.

Applicants should hold an MD, MD/PhD or PhD degree and should have completed training in radiology, nuclear medicine, biomedical engineering or a related area of the imaging sciences. Applications from individuals currently in U.S. residency programs may also be considered for research fellowship positions. Foreign graduates can also be considered for the Fogarty Visiting Fellows Program. U.S. citizenship or permanent residency is required for this full-time equivalent appointment. Salary will vary depending upon qualifications including number of years of post-residency or graduate training. NIH also provides a generous benefits package. NIH is dedicated to building a diverse community in its training and employment programs.

Candidates should submit a curriculum vitae, at least three letters of reference and a preliminary statement concerning their area of research interest to:

Dr. Joseph A. Frank
c/o Ms. Cassandra Smith
Radiology and Imaging Sciences
Building 10 Room B1N256
10 Center Drive MSC 1074
Bethesda, Maryland 20892-1074
E-mail: smithc4@cc.nih.gov

Additional information can be found at the Imaging Sciences Training Program website.

NIH is an equal opportunity employer.

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) is seeking a creative, energetic and dedicated individual for a Program Director position in the Division of Discovery Science and Technology (DDST), which oversees the Institute’s portfolio in bioengineering. The candidate will primarily manage the Synthetic Biological Systems program. The responsibilities of the position include: all aspects of grant management including interacting with potential applicants, recommendation of applications for funding, management of funded grants and awards, outreach, portfolio analysis, program evaluation, identification of critical gaps and development of initiatives and measures to address these. The ideal candidate will have a Ph.D. in an engineering discipline, such as Biomedical Engineering or Bioengineering, and a deep interest in the advancement of biomedical technologies. Strong analytical, interpersonal, organizational, and written and oral communication skills are essential for success in this position. Expertise in synthetic/engineered biology, especially in the context of living systems, is valuable.

The mission of the NIBIB is to improve human health by supporting the development of cutting-edge technologies and computational methods in biomedical imaging and bioengineering. DDST aims to develop and demonstrate modular platform technologies and engineering approaches to manipulate and interface with biology to enable a new paradigm of biomedical intervention for human health. DDST advances technology development to address critical gaps in bioengineering using workshops and various funding mechanisms.

Those who are interested should contact:

David Rampulla, Ph.D.
Director
Division of Discovery Science and Technology
National Institute of Biomedical Imaging and Bioengineering
david.rampulla@nih.gov
(301) 451-4774

Applications for the position may be submitted through global recruitment at https://www.usajobs.gov/ under the “Health Scientist Administrator (Program Officer)” listing. The listing is tentatively scheduled to open to applications on September 20, 2021. Applicants submitting applications for this position are strongly encouraged to contact Dr. Rampulla directly to indicate their interest.

Position Description: The Section on Quantitative Medical Imaging (QMI) in the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in the National Institutes of Health (NIH) is soliciting applications from post-doctoral level scientists with a strong background in Magnetic Resonance Imaging (MRI) physics and pulse-sequence programming who are interested in developing novel MRI acquisition methods that would increase accuracy and reproducibility of quantitative structural MRI studies with the goal of developing robust MRI-based biomarkers for both neurological and non-neurological clinical applications. For a general overview about QMI’s research projects and publications, please refer here. 

Resources: QMI is part of the larger MRI research community at NIH, which has active programs in clinical and preclinical research. Equipment available in the NIH MRI Research Facility includes a number of 3T and 7T human scanners and 4.7T, 7T, 9.4T and 11.7T animal scanners. In particular, we procured a high-performance gradient insert coil that is interfaced with a GE 3T MRI system. A field camera will be available soon to monitor real k-space trajectories. We are developing a number of human brain imaging applications on this system. QMI’s primary research focus lies in the field of diffusion MRI, but integration of other quantitative MRI techniques for multimodality assessment of tissue structure/architecture is of great interest to our program.

The optimization of MRI data acquisition using this high-performance gradient insert coil in conjunction with information obtained from the dynamic field camera will lead to the availability of data of unprecedented quality that will open new avenues for the investigation of tissue structure, architecture, perfusion dynamics, morphology, and physiology.

Qualifications: The successful candidate will be working in a multidisciplinary environment, coordinating his/her research effort in MRI acquisition and reconstruction with other team members involved in the development of post-processing and analysis methods, as well as with neuroscientists and clinicians, with the goal of building reliable acquisition and post-processing tools for clinically translatable applications.  

- We are looking for a creative postdoctoral fellow aiming to work on original interdisciplinary research projects.

- The candidate must have or must be in the final stages of achieving a Ph.D.  in a relevant area such as physics, electrical engineering, biomedical engineering or a related discipline.

- Expertise in MRI pulse sequence programming, with preference for GE and Philips systems, is required.

- Prior experience with diffusion MRI pulse sequences is desirable, and interest to learn about less conventional diffusion MRI acquisitions is important.

- Familiarity with at least one programming or scripting language such as C/C++, Matlab and Python is desirable, as well as familiarity with Linux.

- Previous work experience with common quantitative structural MRI techniques, such as diffusion MRI, perfusion MRI, and relaxometry is desirable. 

Position Location: Building 13, NIH main campus, Bethesda, MD.

To Apply: For more information, please contact Dr. Carlo Pierpaoli (pierpaoc@nih.gov) with a statement of interest, current CV, and the contact information of three references. Applications will start to be reviewed in July 2021, but the position will be open until filled.

Position includes salary and benefits commensurate with NIH guidelines for post-doctoral fellows. NIH is an equal opportunity employer. 

Position Description: The Section on Quantitative Medical Imaging (QMI) in the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in the National Institutes of Health (NIH) is soliciting applications from post-doctoral level scientists interested in the development and application of statistical methods for the analysis of quantitative data in neuroimaging (with emphasis on quantitative diffusion magnetic resonance imaging, or MRI).

QMI has a long-standing history of developing methods that increase accuracy and reproducibility of quantitative structural MRI studies with the goal of developing robust MRI-based biomarkers for both neurological and non-neurological clinical applications. For a general overview about QMI’s research projects and publications, please refer here. 

Resources: QMI is part of the larger MRI research community at NIH, which has active programs in clinical and preclinical research. Equipment available in the NIH MRI Research Facility includes a number of 3T and 7T human scanners and 4.7T, 7T, 9.4T and 11.7T animal scanners. Recently, we procured a high-performance gradient insert for a GE 3T MRI system and a field camera will be available soon to monitor real k-space trajectories. We are developing a number of human brain imaging applications on this system. This will lead to the availability of data of unprecedented quality, both in-vivo and ex-vivo, that will open new avenues for the understanding of brain structure, architecture, perfusion dynamics, morphology, and physiology. 

We are involved in several collaborative clinical studies, including research that concentrates on  multiple sclerosis, postnatal brain development and prematurity, and pre-surgical planning for focused ultrasound therapy in essential tremor.   

Finally, we are creating high-quality anatomical atlases that could be used for the analysis of data available from large multi-center studies. 

Qualifications: We are looking for a creative postdoctoral fellow who has interest and expertise in the development and implementation of novel statistical methods for the analysis of quantitative MRI data by integrating classical statistical approaches (parametric and non-parametric tests, multiple comparison,  Bayesian inference, linear and non-linear mixed effects models, etc... ) and  machine learning strategies (supervised learning with Bayesian approaches; neural network-based, decision tree, and forest-based approaches;  unsupervised learning for feature representation; and  feature selection to determine most viable biomarkers).

- Candidates must have a Ph.D. (or be in the final stages of achieving their degree) in an area such as mathematics, statistics, biomedical engineering, neuroscience, or a related discipline.

- Previous work experience with common quantitative structural MRI techniques, such as diffusion MRI, perfusion MRI, and relaxometry is desirable.

- Familiarity with at least one programming or scripting language such as C/C++, Matlab, Python, and R, as well as familiarity with existing neuroimaging tools such as Freesurfer, AFNI, FSL is desirable.

- Excellent verbal and written communication skills are required. 

Position Location: Building 13, NIH main campus, Bethesda, MD.

To Apply: For more information, please contact Dr. Carlo Pierpaoli (pierpaoc@nih.gov) with a statement of interest, current CV, and the contact information of three references. Applications will start to be reviewed in July 2021, but the position will be open until filled.

Position includes salary and benefits commensurate with NIH guidelines for post-doctoral fellows. NIH is an equal opportunity employer. 

Field: Immunology, Epigenetics, Regenerative Medicine, Trauma Medicine

Research Project Title: Genetic Understanding and Manipulation of Immune Responses to Biomaterials

Position Description: The National Institute of Biomedical Imaging and Bioengineering (NIBIB) is seeking candidates for a Post-Doctoral Fellow position in the Intramural Research Program, in the Section on Immuno-Engineering.

This position will work at the intersection of immunology and engineering to analyze biological responses to medical device implantation and develop new technologies to promote device integration and tissue regeneration. Work will focus on characterizing immune responses to materials with the opportunity to work with next-generation high-color flow cytometers and the vast microscopy knowledge available at NIBIB.  Will also work closely with collaborating immunologists in other NIH institutes and with muscle trauma researchers at Walter Reed National Military Medical Center, who will help with functional regeneration testing. The Section on Immuno-Engineering focuses on immune reactions to medical devices and regenerative therapeutics to determine biologic mechanisms of immune responses to biomaterials in order to   then leverage/modulate those to promote device integration and tissue regeneration. Candidates would be responsible for conducting studies to understand the basic molecular mechanisms of the local and systemic immune response to biomaterials and medical devices, focusing on innate immune activation and differentiation.

Qualifications: The applicant must have a Ph.D. in Molecular Biology, Immunology, or related discipline. The applicant must display strong technical experience with bisulfite sequencing and/or ChIP-sequencing, along with exposure standard techniques such as qRT-PCR and flow cytometry. Experience with animal modeling is preferred. Due to the interdisciplinary nature of the research, any interested applicants should be open to learning new techniques, especially in the field of trauma medicine and biomaterial therapeutics.

To Apply: Interested applicants should send their CV along with a one-page research statement (past/current/future) and the names and email addresses of 3 references to Dr. Kaitlyn Sadtler at kaitlyn.sadtler@nih.gov.

Position includes salary and benefits in line with NIH standard levels for postdoctoral fellows.

The NIH is dedicated to building a diverse community in its training and employment programs. The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

CONTACT: Dr. Kaitlyn Sadtler, PhD

Position Description: The Section on Quantitative Medical Imaging (QMI) in the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in the National Institutes of Health (NIH) is soliciting applications from post-doctoral level scientists interested in mapping morphological and structural features of the human brain using diffusion magnetic resonance imaging (MRI) and other quantitative MRI methods. QMI has a long-standing history of developing methods that increase accuracy and reproducibility of quantitative structural MRI studies with the goal of developing robust MRI-based biomarkers for both neurological and non-neurlogical clinical applications. For a general overview about QMI’s research projects and publications, please refer here. 

Resources: QMI is part of the larger MRI research community at NIH, which has active programs in clinical and preclinical research. Equipment available in the NIH MRI Research Facility includes a number of 3T and 7T human scanners and 4.7T, 7T, 9.4T and 11.7T animal scanners. Recently, we procured a high-performance gradient insert for a GE 3T MRI system and a field camera will be available soon to monitor real k-space trajectories. We are developing a number of human brain imaging applications on this system. This will lead to the availability of data of unprecedented quality, both in-vivo and ex-vivo, that will open new avenues for the understanding of brain structure, architecture, perfusion dynamics, morphology, and physiology. 

We are involved in several collaborative clinical studies, including research that concentrates on multiple sclerosis, postnatal brain development and prematurity, and pre-surgical planning for focused ultrasound therapy in essential tremor.

Finally, we are creating high-quality anatomical atlases that could be used for the analysis of data available from large multicenter studies. 

Qualifications: We are looking for a creative postdoctoral fellow who has a strong background in human brain anatomy and an interest in neuroimaging projects that involve building and annotating novel MRI brain atlases and analyzing the large datasets available from public repositories or data originating from the multiple ongoing clinical collaborations. 

- The candidates must have a Ph.D. or an M.D. (or be in the final stages of achieving their degree) in area such as neurology, radiology, neuroscience, biomedical engineering or a related discipline.

- Previous work experience with common quantitative structural MRI techniques, such as diffusion MRI, perfusion MRI, and relaxometry is desirable.

- Familiarity with at least one programming or scripting language such as C/C++, Matlab, Python, and R, as well as familiarity with existing neuroimaging tools such as Freesurfer, AFNI, FSL  is desirable.

- Excellent verbal and written communication skills are required. 

Position Location: Building 13, NIH main campus, Bethesda, MD.

To Apply: For more information, please contact Dr. Carlo Pierpaoli (pierpaoc@nih.gov) with a statement of interest, current CV, and the contact information of three references. Applications will start to be reviewed in July 2021, but the position will be open until filled.

Position includes salary and benefits commensurate with NIH guidelines for post-doctoral fellows. NIH is an equal opportunity employer. 

Research Project Title: Understanding Cellular and Tissue Molecular Mechanical Regulation for Self-organization.

Position Description: The National Institute of Biomedical Imaging and Bioengineering (NIBIB) is seeking exceptional candidates for a Post-Doctoral Fellow position in the Intramural Research Program, in the newly established Section on Mechanobiology.

The focus of this position is on the development and use of advanced Atomic Force Microscopy (AFM) technologies for cellular and tissue mechanics work, with opportunities to work on high spatio-temporal resolution AFM and confocal fluorescent microscopies, image analysis, and mathematical modeling.

The Section on Mechanobiology seeks to elucidate the molecular-mechanical regulation of two important biological processes: (i) the molecular-mechanical regulation of the actomyosin cortex of melanoma cells and the solid tumor microenvironment for deciphering self-organization in cancer biology, and (ii) the anisotropic mechanical properties of developmental and mature inner ear sensory and non-sensory epithelial tissues using a novel noncontact AFM approach. The lab also develops new AFM methodologies to study fast multiparametric and multidimensional cellular and tissue processes, and advances the state-of the-art AFM imaging methods for high spatio-temporal and quantitative nanomechanical mapping.

Qualifications: The ideal candidate will have a Ph.D. degree in cellular biology, biophysics, biomedical or mechanical engineering, or related discipline, with some background in molecular cell biology and developmental biology, and a demonstrated ability to work in a multidisciplinary and diverse team. We are seeking a highly motivated individual who has a demonstrated record of productivity and success in scientific and engineering projects. The candidate must have experience on cellular and tissue mechanics, tissue culture, AFM imaging, optical imaging, and programming for data analysis (preferably MATLAB or R) and/or experimental devices control (preferably LabVIEW).

Position Location: Bethesda, Maryland (NIH main campus)

To Apply: Salary is determined by the NIH stipend level for Post-Doctoral Trainees and Fellows. Applicants are invited to submit a curriculum vitae including a list of publications, a maximum one-page summary of research interests, and names and contact details of three referees to Dr. Cartagena-Rivera by email at alexander.cartagena-rivera@nih.gov.

The National Institutes of Health is an equal opportunity employer. The NIH is dedicated to building a diverse community in its training and employment programs.