Assistant/Associate Project Scientist - Simulation and Integrative Modeling Laboratory (SIML)
University of California Los Angeles
Location: Los Angeles, California
Internal Number: 3215367
Assistant/Associate Project Scientist - Simulation and Integrative Modeling Laboratory (SIML) University of California Los Angeles
Requisition Number: JPF07390
The Department of Radiological Sciences at UCLA is seeking a motivated, exceptional Project Scientist with a computational or modeling background (e.g. bioengineering, biophysics, computational biology, or mathematical biology) and expertise in data integration and modeling for applications to translational studies linking basic science/systems biology.
The projects will involve the analysis of in vitro and in vivo data omic data (with corresponding cellular and clinical phenotypic measurements) aimed at understanding the metabolic response of solid tumors to different drug treatments.
Lead independent research projects and support collaborative projects that lead to peer reviewed scientific manuscripts.
The use and application of physical principles to construct models of biological processes
Implement computational methods and analysis workflows for the integration of high throughput data and subsequent simulation
Maintain organized records of completed and ongoing research studies
Supervise doctoral and postdoctoral trainees and staff members in SIML as needed.
Support and participate in SIMLs educational programs.
Clear and effective communication skills, as exhibited in oral presentations and written scientific/technical reports.
Research in the SIML focuses on striving to understand how complex measurements across multiple spatial scales with disparate data measurements of organs, tissues, and cells are related to one another. We construct mathematical models and carry out various computational analyses for simulation and analysis of biological processes in order to 1) characterize cellular metabolic phenotypes and 2) understand how they relate to clinical imaging, pathological, & laboratory data, in order to improve the characterization of these malignancies to enable non-invasive and minimally invasive measurements for prognostic and disease management applications. We employ state of the art measurement and modeling approaches to build predictive models of biological systems, to be used to develop new strategies for subsequent application in diagnosis and treatment.
For further inquiries, please submit CV and statement of interest with subject heading 'SIML Project Scientist' directly to, Neema Jamshidi njamshidi -[at]- mednet.ucla.edu
Applicants are invited to upload a current curriculum vitae and a list of 3 references to the UC Recruit online posting at https://recruit.apo.ucla.edu/07390. Only applicants that apply through this website will be considered.
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