Posted 19 Oct 2018
University of California, San Francisco
San Francisco , California
Rachel Nosheny, Rachel.email@example.com
The fellow will be involved in research related to validating novel online assessments in older adults using the BrainHealthRegistry.org, an online registry for recruitment, assessment, and longitudinal monitoring of cognitive aging with more than 58,000 participants.
The goals are to validate these online data collection methods and determine their ability to predict important outcomes related to brain aging and Alzheimer’s disease, including APOE genotype, brain amyloid levels, and cognitive decline. Overall this project involves clinical neuroscience research, with an emphasis on Alzheimer's disease, cognitive aging, and cognitive decline.
There are many other projects the fellow may also be involved in, including development of partnerships with those conducting Alzheimer's clinical trials, analysis of Brain Health Registry data, collection and analysis of biomarker data, and implementation of new content and improvements in the Brain Health Registry.
The principal investigator of the project is Michael W. Weiner, who is also the principal investigator of the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The fellow will work closely co-investigators Scott Mackin, professor of psychiatry, and Rachel Nosheny, assistant professor of psychiatry.
- Quantitative analysis of data including in-clinic and online self- and study partner-report questionnaires, neuropsychological tests, imaging and biomarker data from a longitudinal, observational study
- Work with principal investigator and co-investigators to generate hypotheses, plan analyses, and interpret data.
- Develop innovative ways to use the Internet for assessment of cognitive aging.
- Seek out new funding opportunities and help to write grants and proposals.
- Write manuscripts and abstracts.
- Doctorate degree or its equivalent.
- Research experience, preferably in clinical research.
- Data analysis experience.
- Biostatistics experience.
Other preferred qualifications:
- Experimental design and implementation experience:
- Experience with statistical computing and visualization software or program is highly desired.
- Experience writing grants and other proposals.
- Experience in a brain health related field, such as neuroscience, neurology, psychiatry, psychology.