The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has launched a search to identify exceptional leaders for the position of Program Director, Nuclear Medicine, in the Division of Applied Science and Technology (DAST). The scientific focus will be on medical imaging technologies, specifically managing a portfolio in nuclear (radionuclide, SPECT and PET) medicine imaging, x-ray (including advanced computed tomography technologies, CT), electron and ion beam technologies, and related areas within NIBIB’s mission. The Program Director will be responsible for development and oversight of the research initiative concepts and direction of the Program and will identify challenges, opportunities, and gap areas and build up implementation strategies to enhance technical development.

The ideal candidate will have a PhD/DSc in imaging physics, with special emphasis on x-ray and radionuclide imaging, engineering physics or closely related fields. Applicants must possess (1) an established record of outstanding research accomplishments, scientific leadership and service within the community of scientists, health professionals, industry and others interested in the advancement of biomedical imaging technologies; and (2) demonstrated skill set in managing a broad and complex biomedical research program.

Strong analytical, interpersonal, organizational, and written and oral communication skills are essential for success in this position. Knowledge of federal medical imaging technology programs and funding is preferred but not required. The Program Director will be exposed to a broad range of scientific program areas in biomedical imaging technologies and will be closely involved with advances in these fields while contributing to NIBIB’s technology development efforts.

The responsibilities of the position include: leading all aspects of scientific program 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 (organizing workshops, publishing notices to the research community, and interacting with professional societies) to address these needs.

The Program Director will interact with investigators and trainees from universities and business entities across the country as well as colleagues in Program, Scientific Review, and Grants Management within NIBIB and across other NIH institutes and centers.

You must be a U.S. citizen or U.S. national.  Foreign nationals or legal permanent residents are not eligible for consideration.

Those who are interested should contact Guoying Liu, Ph.D.

Apply to the NIH global recruitment on USAJobs: Health Scientist Administrator (Program Office/Director) vacancy announcement:

NIH-GR-DE-23-12097718 (U.S. citizens)

NIH-GR-MP-23-12099536 (Merit promotion)

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has launched a search to identify exceptional leaders for the position of Program Director, Magnetic Resonance Imaging (MRI), in the Division of Applied Science and Technology (DAST) which offers an exciting opportunity to support and provide leadership for the development of advanced MRI technologies for biomedical research and clinical applications. The Program Director will be responsible for development and oversight of the research initiative concepts and direction of the Program and will identify challenges, opportunities, and gap areas and build up implementation strategies to enhance MRI technical development.

Applicants must possess (1) a PhD/DSc or equivalent doctoral degree with specialized training in MRI technical development; (2) an established record of outstanding research accomplishments, scientific leadership and service within the community of scientists, health professionals, industry and others interested in the advancement of biomedical imaging technologies; and (3) demonstrated skill set in managing a broad and complex biomedical research program.

Strong analytical, interpersonal, organizational, and written and oral communication skills are essential for success in this position. Knowledge of federal medical imaging technology programs and funding is preferred but not required. The Program Director will be exposed to a broad range of scientific program areas in biomedical imaging technologies and will be closely involved with advances in these fields while contributing to NIBIB’s technology development efforts.

The responsibilities of the position include: leading all aspects of scientific program 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 (organizing workshops, publishing notices to the research community, and interacting with professional societies) to address these needs.

The Program Director will interact with investigators and trainees from universities and business entities across the country as well as colleagues in Program, Scientific Review, and Grants Management within NIBIB and across other NIH institutes and centers.

Seeking candidates for two positions

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) is seeking creative, energetic and dedicated individuals for two Program Director positions in the Division of Health Informatics Technologies (DHIT). The scientific focus for the respective positions will be on managing a biomedical technologies portfolio in either: 1) Artificial intelligence, machine learning, and medical imaging; or 2) Point-of-care technologies and digital health—among other related areas within DHIT portfolios.

The responsibilities of the positions include: leading all aspects of scientific program 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 candidates will have a PhD in Biomedical Engineering/Bioengineering or a related field, an established record of outstanding research accomplishments, scientific leadership and service within the community of scientists, health professionals, industry and others interested in the advancement of biomedical technologies and data science.  Strong analytical, interpersonal, organizational, and written and oral communication skills are essential for success in this detail position. Program experience, especially in technology development program, is preferred but not required.

The Program Directors will be exposed to a broad range of scientific program areas in biomedical engineering and bioinformatics and will learn about the exciting work and advances in these fields while contributing to NIBIB’s technology development efforts. The Program Directors will interact with investigators and trainees from universities across the country as well as colleagues in Program, Scientific Review and Grants Management within the IC and across the NIH.

Those who are interested should contact:

Behrouz Shabestari, Ph.D.
Director, NIBIB National Technology Centers Program
Acting Director, Division of Health Informatics Technologies
National Institute of Biomedical Imaging and Bioengineering
Email: behrouz.shabestari@nih.gov; (240) 271-7701

More about global recruitment and tips for applicants can be found on this FAQ page.

Fields: Mechanobiology, Biophysics, Engineering, High-resolution Imaging, Cell Biology, Developmental Biology

Research Project Title: Mechanobiology of Self-Organization in Cancer

Project Description:

The NIBIB’s Section on Mechanobiology (https://www.nibib.nih.gov/labs-at-nibib/section-mechanobiology) at the National Institutes of Health is recruiting a Post-Doctoral Fellow. The focus of the Cartagena-Rivera lab the development and use of advanced Atomic Force Microscopy (AFM) tools for cellular and tissue mechanics investigation. We seek to understand several important biological processes by applying physics and engineering principles, particularly: the molecular-mechanical regulation of the actomyosin cortex and glycocalyx of highly malignant cancers (including melanoma, breast, ovarian, and pancreatic); the structural-molecular-mechanical regulation of the solid tumor microenvironment for deciphering self-organization, morphogenesis, and growth in cancer biology; and the anisotropic mechanical properties of developmental and mature inner ear sensory and non-sensory epithelial tissues using a novel noncontact AFM approach.

This position will work at the intersection of biophysics, engineering, mathematics, and molecular/cellular/developmental biology to study the mechanobiological regulation of cells and tissues during development and disease. Furthermore, will work on development of new Atomic Force Microscopy-based technologies to study fast multiparametric and multidimensional cellular and tissue processes, advances the state of the art AFM imaging methods for high spati-temporal and quantitative nanomechanical mapping. In addition, will work closely with collaborating cell biologist, geneticists, engineers, and byophysists within and outside the NIH.

Qualifications: 

The candidate must 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. The candidate must demonstrate 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, high-resolution optical imaging, and programming for data analysis (preferably Julia, Python, 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 Laboratory 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 to https://www.nibib.nih.gov/labs-at-nibib/quantitative-medical-imaging.

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 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, tubulin-related disorders, 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 includes salary and benefits commensurate with NIH guidelines for post-doctoral fellows. NIH is an equal opportunity employer.

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

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. The position will be open until filled.

The Laboratory 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 to https://www.nibib.nih.gov/labs-at-nibib/quantitative-medical-imaging.

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

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

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. The position will be open until filled.

The Laboratory 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 to https://www.nibib.nih.gov/labs-at-nibib/quantitative-medical-imaging.

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

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

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. The position will remain available until filled.

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