Please view our current openings for faculty positions and/or postdoctoral positions in the Department of Biomedical Engineering:
Dr. Emilia Entcheva’s lab (Cardiac Optogenetics & Optical Imaging Lab) in the Biomedical Engineering Department has immediate openings for three Postdoctoral Scientists – in Optics, Epigenetics and Machine Learning. Please visit the GW application site to see the 3 positions. These positions will remain open until filled.
The Postdoctoral Scientist will design and automate optical imaging and optical stimulation systems for in vitro cardiac optogenetics. The candidate should have strong quantitative skills and suitable engineering design and instrumentation experience, e.g. standard optical setups, microscopic systems – hardware and software.
The following background will be helpful: optics, fast fluorescence imaging, microscopy (fluorescence, light-field, electron microscopy), spectroscopy, microendoscopy, image processing, machine learning, optogenetics, ample Matlab computer programming skills.
PhD in optics, physics, biomedical engineering or related disciplines.
The Postdoctoral Scientist will work on a project towards personalized models for drug testing informed by epigenetic experimental data. He/she will conduct experiments to uncover chromatin modulation in human induced pluripotent stem-cell-derived cardiomyocytes (iPSC-CMs) using optical approaches, functional assays and measurements, transcriptomics, bioinformatics and electron microscopy.
The candidate should have a strong work ethic, the ability to work in a team, and suitable prior experience. We are looking for a conscientious and rigorous researcher who is well versed in mammalian cell culture, chromatin assays and chromatin imaging, ChiPseq, bioinformatics, microscopy, and willing to learn new techniques.
PhD in molecular biology, chemistry, physiology, pharmacology, computer science, biomedical engineering, or related disciplines.
The Postdoctoral Scientist will conduct experiments and use machine learning algorithms to analyze high-content data on human cardiomyocytes to unravel transcriptomics, structural and functional changes in response to genetic and epigenetic manipulations, with the goal of designing personalized models.
The candidate should have a strong work ethic, the ability to work in a team, and suitable prior experience. Quantitative skills and ample experience with machine learning platforms and algorithms is required. Prior work with transcriptomics data, high-throughput epigenetics methods, bioinformatics, electron or fluorescence imaging experience are of particular interest.
PhD in physics, biology, computer science, electrical engineering, biomedical engineering, or related disciplines.
Interested candidates should submit an application containing the following using the GW Jobs system:
- A brief cover letter summarizing research interests and career goals
- A current curriculum vitae
- Optional: A sample of relevant work/publication
Salary and benefits will be commensurate with experience and in accordance with NIH policies.
The George Washington University is an equal opportunity employer.
Emilia Entcheva, Ph.D.
Professor, Biomedical Engineering
The George Washington University
Science and Engineering Hall
E-mail: entcheva at gwu.edu