Project Scientist Position-Nguyen Lab 2024-2025
Position overview
Position title: Project ScientistApplication Window
Open date: July 1, 2024
Next review date: Friday, Nov 29, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Tuesday, Dec 31, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Department of Medicine, Division of Cardiology at the VA Greater Los Angeles Healthcare System is seeking a candidate for a Project Scientist position at the Assistant, Associate and Full ranks to be based at the VA Greater Los Angeles Healthcare System.
The candidate will work with Investigators in the UCLA Magnetic Resonance Research Laboratories (MRRL), the UCLA-VA Division of Cardiology, and the UCLA Diagnostic Cardiovascular Imaging Section of Radiology. Projects include: 1) developing and applying advanced cardiovascular magnetic resonance imaging methods to detect and quantify indices of cardiovascular disease in human patients and animal models and 2) image-based computational modeling of the cardiovascular system. The projects are in the areas of ischemic-reperfusion /hemorrhagic myocardial infarction and heart failure, ischemic microvascular heart disease, and congenital heart disease.
A Ph.D., M.D. or M.D./Ph.D. is required. Excellent oral and written communication skills and the ability to work independently and in a team environment are expected. Compensation is commensurate with experience.
Ph.D. candidates should hold a degree in Biomedical Engineering, Electrical Engineering, Biomedical Physics, Mechanical Engineering, Computer Science, Material Science, Physiology, or a closely related field. Desired skills include experience in MRI, Siemens IDEA and ICE programming, image reconstruction and processing, and cardiovascular disease research.
The candidate is expected to be proficient in MATLAB, C++, Python. Experience in computational modeling of the cardiovascular system and/or machine learning is also desired.
M.D. or M.D./Ph.D. candidates should have experience in cardiovascular MRI research and/or computational modeling (multiscale biology). Prior background in biostatistics is expected. Prior experience in cardiovascular interventional procedures and ischemic/infarct modeling in large animals is preferred. The candidate is expected to have prior first author publications.
The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what’s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at [https://medschool.ucla.edu/cultural-north-star]
Qualifications
A Ph.D., M.D. or M.D./Ph.D. is required.
Ph.D. candidates should hold a degree in Biomedical Engineering, Electrical Engineering, Biomedical Physics, Mechanical Engineering, Computer Science, Material Science, Physiology, or a closely related field.
M.D. or M.D./Ph.D. candidates should have experience in cardiovascular MRI research and/or computational modeling (multiscale biology).
The candidate is expected to be proficient in MATLAB, C++, Python.
Prior background in biostatistics is expected. The candidate is expected to have prior first author publications.
Desired skills include experience in MRI, Siemens IDEA and ICE programming, image reconstruction and processing, and cardiovascular disease research.
Experience in computational modeling of the cardiovascular system and/or machine learning is also desired.
Prior experience in cardiovascular interventional procedures and ischemic/infarct modeling in large animals is preferred.
Application Requirements
Curriculum Vitae - Your most recently updated C.V.
Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document.
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Help contact: jpgaines@mednet.ucla.edu
About UCLA
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