Postdoctoral Scholar University of California Los Angeles
Requisition Number: JPF07720
The University of California, Los Angeles Geffen School of Medicine's Department of Neurology invites applications for a full-time Postdoctoral Scholar with expertise in neurodegenerative disease epidemiology, human genetics, and/or bioinformatics analyses of -omics data. The postdoctoral scholar will join an exciting, multidisciplinary research team in Neurology in the Paul and Chang labs using high-throughput, omic technologies to study neurodegenerative disease and aging.
The postdoctoral scholar will contribute to and lead projects involving high-dimensional data (genomics, transcriptomics, metabolomics) and Parkinson's disease (PD), Lewy body dementia (LBD), and Parkinson's disease dementia (PDD). Using multi-omic data and a systems biology pipeline, the candidate will lead research investigating immune system decline and how it relates to PD/LBD/PDD. The candidate will also collaborate with other team members and projects who work on characterizing genetic/epigenetic contributions to Parkinson's, Alzheimer's, and cognitive decline. The candidate will work with faculty members, led by Drs. Kimberly Paul and Timothy Chang, with a range of expertise (e.g., epidemiology, neurology, bioinformatics, human genetics, etc.).
Use bioinformatics tools to analyze high-throughput omic data (genetic and genomic data, including whole genome/exome sequencing, transcriptomic, metabolomic)
Perform analyses to examine how multi-omic data are associated with neurodegenerative disease outcomes and medical data
Perform statistical analysis of omic data in case-control and cohort study designs
Prepare manuscripts, grant proposals, and scientific meetings presentations
Work independently and collaboratively with highly interactive research groups Requirements
PhD in Epidemiology, Biostatistics/Statistics, Human Genetics, Computational Biology, Bioinformatics, or other relevant computational disciplines
Programming proficiency in R (preferred), or other statistical languages (Python, C, C++, etc), with experience handling large omic data files in various formats
Experience in analysis of omics data using bioinformatics tools, experience with human sequence data is a plus
Working knowledge of statistical genetics is a plus
Ability to analyze data on the cloud (AWS, Google or Azure) is a plus
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy, https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction jeid-a7b17ee5d427c44aa13bf2313ef1ebfe
UCLA is known worldwide for the breadth and quality of its academic, research, health care, cultural, continuing education and athletic programs. UCLA offers undergraduate degrees in more than 127 majors and graduate degrees in 198 program areas. UCLA has 11 highly regarded professional schools. Eight are ranked among the nation's top 15 in their field by U.S. News & World Report. UCLA is consistently among the most popular campus in the nation for undergraduate applicants. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, disability, or protected veteran status. Benefits:UCLA offers a comprehensive benefits package, including an average of three weeks' vacation per year; an average of 12 days per year sick leave; 13 paid holidays per year; health, dental and optical benefits; life insurance; disability insurance; the University of California Retirement Plan with 5 year vesting and various voluntary UC Savings Plans. There are also special programs and privileges available, such as accessibility to cultural and recreational programs, athletic events, and the University Credit Union.