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Postdoctoral Scholar Research Assoc

Preventive Medicine - Biostatistics Los Angeles, California

The Departments of Preventive Medicine and Neurology at the Keck School of Medicine of the University of Southern California invites applications for Postdoctoral Scholar/Research Associate position in computational neurosciences.  The selected candidates are expected to participate in research and training activities including study design, project management, data analyses, dissemination of scientific results, research planning and development of grant proposals for biologically-based, population-level studies investigating environmental contributions to neurodevelopment and brain aging.  Drawing on the unique strengths of the Departments of Preventive Medicine (PM) and Neurology, the innovative research program in Environmental Neurosciences involves an interdisciplinary team of established investigators and their collaborators in neurosciences, psychology, gerontology, spatial statistics, social sciences and environmental engineering.  The PM Department has a leading research group in epidemiology and biostatistics, with active and well-funded programs in chronic disease epidemiology, environmental health, cancer epidemiology and methodological research focused on environmental and genetic epidemiology.  The Department of Neurology houses the NIA-funded Alzheimer’s Disease Research Center (ADRC) and supports cutting-edge research led by world-class scientists with expertise in multimodal neuroimaging, cognitive neuropsychology and clinical neurology.  Investigators at the NIH-funded ADRC focus their collective efforts to better characterize cognitive changes and understand the biological underpinnings as related to aging, Alzheimer's disease and cerebrovascular disease. The PM Department also includes the Southern California Environmental Health Sciences Center (SCEHSC), which offers opportunities for a wide range of research collaborations with investigators from southern California and beyond.  The NIEHS-funded SCEHSC features a long-standing Career Development Program with a track record of success in helping early-stage investigators obtain their first NIH awards and advance their professional career.

Applicants with a doctoral degree,  in computational neuroscience, or other related scientific fields (e.g., computational neuroimaging, statistics/biostatistics, machine learning, data science, computational biology, systems biology, etc.) and interested in pursuing substantive research at the junction of environmental epidemiology and neurosciences of brain development and aging are all welcome to apply.  Applicants must have a strong quantitative background with training in statistics, prior experience analyzing high-dimensional multiscale data (e.g. including neuroimaging), longitudinal data, etc. A particular interest in methods for high-dimensional mediation is desirable. 

JOB QUALIFICATIONS: Minimum Education: Ph.D. or equivalent doctorate within previous five years Minimum Experience: 0-1 year Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods. Preferred Field of Expertise: Publications in peer-reviewed journals in the same or related field. Skills: Other: Analysis Assessment/evaluation Communication -- written and oral skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network (department or school) Computer network (university) Computer peripheral equipment Fax Personal computer Photocopier Supervises: Level: May oversee student, temporary and/or casual workers. Comments: A copy of the doctoral diploma or other certification that indicates that the terminal degree has been completed satisfactorily is required. If the doctoral candidate has not yet obtained a degree, he/she should provide evidence that a thesis has been approved together with a documented indication of the expected date of formal graduation. It is the responsibility of the faculty mentor to verify this documentation. The documentation is to be filed with the Office of Postdoctoral Affairs.

REQ20074951 Posted Date: 12/02/2019 - Thru date - 2020-01-31

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