This section contains a list of job opportunities for imaging researchers. If you would like to post a job advertisement, please email the information to firstname.lastname@example.org. The BME department also maintains a list of job opportunities.
Showing posts 1 - 5 of 39. View more »
The Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Division of Psychiatric Neuroimaging (PI: Arnold Bakker, Ph.D.) has a vacancy for 1-2 postdoctoral scholars to perform federally-funded research in the areas of learning and memory, aging, dementia and depression using human functional neuroimaging methods. As part of the research team, the candidate will be responsible for the design and implementation of behavioral and imaging experiments aimed at assessing learning and memory performance, or the effects of depression on learning and memory and cognition, broadly in both young and older adults and in individuals with memory complaints or mild cognitive impairment. Our studies focus primarily on the role of the medial temporal lobe and particularly the hippocampus in memory function, age- and disease-related memory impairment and neuropsychiatric conditions. We are also interested in neural network approaches to learning and memory, cognitive aging and intervention using studies of resting state activity and functional connectivity.
The Division of Psychiatric Neuroimaging is affiliated with the Johns Hopkins Alzheimer’s Disease Research Center (JHADRC), the Division of Geriatric Psychiatryand Neuropsychiatry, the Kirby Center for Brain Imaging, the Center for Imaging Science (CIS) and the HOPE4MCI study. These affiliations and the Johns Hopkins community in general provide a rich and unique environment for collaboration and education for candidates interested in learning and memory in aging and disease, and neuropsychiatry.
The successful candidate will have a strong background in cognitive neuroscience and will have significant experience with functional MRI, as well as a background in learning and memory. A Ph.D. in Neuroscience, Cognitive Science or Psychology is required. The successful candidate should also have excellent writing and communication skills and be willing to learn new MRI analysis methods. Salary will be dependent on the experience of the individual candidate.
To be considered, please send a letter of interest including a brief description of research interests, a curriculum vitae including a record of research accomplishments, and the names of three professional references to Dr. Arnold Bakker (email@example.com).
Data and image analyst position at CBICA-SBIA, UPENN
A full-time data and image analyst position is available at the Center for Biomedical Image Computing and Analytics, Section for Biomedical Image Analysis (CBICA-SBIA). The Center for Biomedical Image Computing and Analytics (http://www.cbica.upenn.edu) has been a dynamically growing medical image analysis group, including several laboratories and many collaborators from diverse fields.
We are looking for highly motivated candidates with a Master's Degree in Biomedical Informatics, Bioinformatics, Computational Biology or a related field. The work will involve applying, testing and extending image processing algorithms and protocols on magnetic resonance brain images, performing data analysis, as well as communicating with clinical collaborators. Projects include computational neuroanatomy of aging and neurodegenerative diseases.
Experience with medical images is a plus. Strong computer skills (knowledge of Python and/or Matlab, statistical analysis packages, basic shell scripting, experience in Unix platform) will be preferred.
Interested candidates should send a cover letter and a CV to "firstname.lastname@example.org"<mailto:email@example.com>
We are looking for a talented individual to work on a large-scale neuroimaging project funded by the Indiana CTSI. The project aims at applying cutting-edge neuroimaging and connectomics methods (Pestilli et al., Nature Methods 2014; Mišić et al., Neuron 2015) on the latest generation of data from the Indiana Alzheimer Disease Center. The project is a collaboration between groups at Indiana University Bloomington (Franco Pestilli and Olaf Sporns), Indiana University School of Medicine, Indianapolis (Andrew Saykin, Li Shen, and Yu-Chien, Wu) and Purdue University, Lafayette (Joaquin Goñi). The team has strong expertise in aging and Alzheimer’s disease, imaging genetics, network science, magnetic resonance imaging measurements and computational modeling.
The ideal candidate will have a PhD in Computer Science, Engineering, Neuroscience, Informatics or Cognitive Science. Strong programming skills (e.g., in Python, MATLAB, or C/C++) and previous background in neuroimaging, computational modeling, or machine learning will be highly valued. The project will involve developing and publishing software products as well as contributing to ongoing software projects such as: https://francopestilli.github.io/life and https://sites.google.com/site/bctnet/.
Preference will be given to candidates demonstrating successful productivity by means of scientific articles and software publishing. Interested candidates should send CV, statement of research interests, and names of three references to Dr. Franco Pestilli firstname.lastname@example.org. Review of the applications will start immediately and continue until the position is filled. Dr. Pestilli and Professor Sporns will be available at SfN in Chicago for informal meetings with potential candidates.
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, national origin, disability status or protected veteran status.
A recent Johns Hopkins BME alumnus, Alan Huang, has alerted us to a big pool of openings for Ph.D.-level imaging and data scientists at Philips. Here are some of the job titles for currently open positions (with Job IDs):
Bioinformatics Scientist - Next Generation Sequencing (144757)
Clinical Informatics Research Scientist (062971)
Research Scientist - Cardiology Medical Imaging Informatics (129829)
Machine Learning Scientist (137372)
Clinical Imaging Informatics Scientist - Machine Learning (144761)
Clinical Informatics Research Scientist (154338)
Business/Data Analytics Solutions Scientist (144758)
Image Guided Interventions Systems Scientist (144764)
To check out the descriptions for these, enter the Job ID(s) into the Careers Search: https://philips.taleo.net/careersection/2/moresearch.ftl
Additionally, these opportunities and others aggregated on the EDGE Job Opportunities page: http://www.edge.bme.jhu.edu/#!jobs-list/c19bu
The Stanford Cancer Imaging Training (SCIT) Program is currently recruiting postdoctoral fellows.
We would appreciate it if you could forward this information on to your graduate students and postdoctoral fellows.
More information can be found at:
SCIT Program: http://scitprogram.stanford.edu/
Who We Are
At Roche, 85,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 30 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
The Biomedical Imaging Department at Genentech invites applications for a full-time postdoctoral research position in magnetic resonance imaging. The position will broadly focus on the application of biomedical imaging to the study of structural and physiological changes (pO2, pH, perfusion, etc) that occur in the response to therapy. The areas of potential projects for this position include the study of tumor immunology and the tumor micro-environment by various MRI techniques (ex. immune cell labeling/trafficking, perfusion, diffusion, and targeted contrast agents). Research activities will be to focus on MRI applications, although other imaging modalities will likely be employed to provide complimentary information. The ideal candidate would have a strong MRI background and a strong interest in applying imaging to address specific biological questions related to our internal research programs.
The Biomedical Imaging Department is a dedicated, state-of-the-art research facility that includes MRI (7T and 9.4T systems), micro-CT (in-vivo and ex-vivo), ultrasound, micro-PET, micro-SPECT/CT, and various optical imaging techniques. Genentech offers one of the most comprehensive benefits packages in the industry. Our culture emphasizes working hard, working together and sharing rewards.
Who you are
In hiring new employees, we look for people who are also inspired by our mission and who would fit in well with the collaborative, rigorous and entrepreneurial spirit of the company culture. Because we know that employees are critical to our success in
bringing novel medicines to patients, we are dedicated to remaining a great place to work and to providing employees with programs, services and benefits that allow them to bring the best to the business and to their personal lives.
Applicants should possess a Ph.D. in an appropriate discipline, such as bio/biomedical engineering, biophysics, or physics. The candidate should have demonstrated excellence in the field of in-vivo pre-clinical MRI, as evidenced by peer-reviewed publications and productivity during their Ph.D. studies. Strong experience with MRI is required. Software experience with high-level programming languages (C++, Python, IDL, MatLab, etc.) and data analysis packages (Analyze, JMP, etc.) is expected. Previous experience with in-vitro and in-vivo biological techniques is desired.
For more information on the Richard Carano lab, please visit http://www.gene.com/scientists/our-scientists/richard-carano
For information about the Postdoctoral Program at Genentech, please go to www.gene.com/careers/academic-programs/postdocs
BME EDGE has 3 new winter/spring co-op opportunities available at Philips focused on imaging systems (CT and PET) in Cleveland, OH. They are each full-time from January-July 2015. Brief descriptions are below:
Computed Tomography Systems - Contribute to the Ingenuity CT product stream through involvement in system engineering, physics or verification.
Advanced Molecular Imaging Detectors - New PET detection technology provides opportunity to improve quantitative accuracy and image quality compared to today's commercial PET systems. In this position, you will be actively involved in providing product differentiation for Philips vs. competition.
Physics/Software Engineering - A Physics/Software Engineering Co-op is needed to join a dynamic physics team to develop algorithm/software for exciting new PET/CT and PET/MR medical imaging systems.
If you are interested in learning more about any of these opportunities, send us an email at email@example.com by this Friday, October 3, 2014.
BME EDGE is constantly working to find internships for graduate students in the biomedical engineering field. Below are internships that are still accepting applications until this Friday. If you are considering applying or would just like to know more about any of the positions, please contact us at firstname.lastname@example.org and we would be happy to answer any questions or send additional information.
Where: Cleveland, OH
When: September 2014 - April 2015
Description: This is a co-op position designed for BME graduate students who have a background in medical imaging. This is a great opportunity for upper level graduate students looking for an intensive industry experience.
Response Deadline: Friday, August 15
The Computational Breast Imaging Group (CBIG) of the Radiology Department at the University of Pennsylvania has open postdoctoral positions.
CBIG is a research group within the Center for Biomedical Image Computing and Analytics with a mission to act as a translational catalyst between computational imaging science and breast cancer research. Work in our group focuses on developing innovative methodology for multimodality image analysis and also on incorporating such methods for improving personalized clinical decision making for breast cancer screening, prognosis, and treatment.
Postdoctoral Position Qualifications:
We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Computer Science, Biomedical Engineering, Biostatistics, or related field. Ideal applicants should have a background on biomedical imaging, statistical analysis and/or machine learning. Proficiency in computer programming (e.g., Matlab, C/C++, Windows/Linux platforms) and statistical analysis methods (e.g., R, STATA, SPSS) is essential. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team.
Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators, and will gain a first-hand experience of our breast imaging program. Collaborators include faculty in our Radiology department, the Abramson Cancer Center, the Institute for the Translational Medicine and Therapeutics, and the Center for Clinical Epidemiology and Biostatistics.
For more information, please visit:
Computational Breast Imaging Group (CBIG)
Center for Biomedical Image Computing and Analytics (CBICA)
Penn Radiology Breast Imaging:
Center for Clinical Epidemiology and Biostatistics (CCEB)
Penn Biomedical Postdoctoral Programs:
For more details and to apply contact:
Despina Kontos, Ph.D.
Computational Breast Imaging Group (CBIG)
Center for Biomedical Image Computing and Analytics (CBICA)
University of Pennsylvania, Department of Radiology
Bioengineering, Biostatistics and Epidemiology Graduate Groups
3600 Market St. Suite 360
Philadelphia PA 19104-2643
ph: 215-615-0827 // fx: 215-614-0266
Applications should include a letter of motivation, a curriculum vitae, and names and addresses of three references.
The University of Pennsylvania is an equal opportunity employer.
A post-doctoral position is available at the Duke University Center for In Vivo Microscopy (www.civm.duhs.duke.edu) in Durham, NC to work in a high-performance computing environment on adapting, developing, and implementing methods for small animal image analysis, based on integrating multimodal imaging. MR, CT, microSPECT, and optical microscopy will be used to provide quantitative biomarkers for small animal models of human disease. The position is fully funded for a period of 2 years by the NIBIB.
The Center for In Vivo Microscopy has a strong history in high-field magnetic resonance microscopy and microCT, and has recently added confocal microscopy and microSPECT.
· PhD in Computer Science, Biomedical Engineering, Physics, or similar discipline
· Good written and oral communication skills in English
· Good publication record
· Proficiency with programming languages (C, C++, R, Perl, MATLAB)
· Ability to conduct independent research
· Experience working in a high-performance computing environment
· Experience with image processing, machine learning, and analysis of large data sets
· Experience with MRI pulse sequence programming
If interested, send to Alexandra Badea (email@example.com):
Arrange to have 2 reference letters sent by email to the address above
1-10 of 39