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美国北卡大学教堂山分校用大数据对健康进行跨学科研究方向博士后

2018年07月17日

来源：知识人网整理

摘要：

Posting Details

Classification Title: Postdoctoral Research Associate

Working Title: Postdoctoral Research Associate

Campus: UNC-Chapel Hill

Region: Piedmont/Triangle

Job Summary:

We are searching for a post-doctoral scholar trained in one or more of the following fields: population health, demography of aging, and neurocognitive sciences, with strong statistical training interested in interdisciplinary research on health using big data. The research will take place at the Carolina Population Center in close collaboration with a biodemographer and medical sociologist, Yang C. Yang, and a social epidemiologist, Allison Aiello, alongside a team of scholars, researchers, and doctoral students in public health, sociology, quantitative psychology, neurology, and biostatistics at both UNC and Duke University Medical Center. Our group uses a life course approach to social determinants of chronic diseases of aging and the underlying biological mechanisms. Our current NIA funded R01 project focuses on modeling age trajectories of cognitive decline and Alzheimer?s Disease (AD) related dementia and sex disparities, and interplay of social and biological pathways that generate and sustain AD disparities. A significant portion of the work will focus on the integration of five large-scale NIH longitudinal cohort studies, testing of biomarkers of immune function, and statistical analyses. The work is highly innovative in research design and will have the potential for translational and policy impact for aging populations in the US and globally. Additionally, there will be ample opportunities for connecting with a wider network of scholars and career development. The initial term of appointment is one year, reappointment for a 2nd and 3rd year is likely depending on contributions to the progress of the project. Either Drs. Y.C. Yang or A. Aiello can be directly contacted via email if desired.

Minimum Qualifications:

We are seeking a productive, self-driven, and collaborative scholar with a strong background in health and aging, statistical modeling, and an interest and some experience in interdisciplinary research. Experience with population health research, large data-sets, SAS / STATA desired. Experience with cognition and neurodegenerative conditions, sex differences, and biomarkers of immune, metabolic, and other physiological functions is highly preferred.A PhD or equivalent in sociology (health, aging and the life course), epidemiology, demography, neuropsychology, biopsychology, or related discipline with strong quantitative training.

Position Number: PDS002028

Posting Date:05/21/2018

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