University of Washington School of Public Health
Data Analyst - University of Pennsylvania
Closing Date: open until filled
Posted: November 19, 2018
Adam Naj’s Lab, part of the Penn Neurodegeneration Genomics Center (PNGC), is hiring a data analyst to participate in ongoing research on the genetics of Alzheimer’s Disease and other neurodegenerative disorders. Duties include (1) processing, management, and analysis of data from genome-wide association and high-throughput whole-genome/whole-exome sequencing studies for Alzheimer’s disease and other neurodegenerative disorders; (2) collecting and processing functional genomic annotation data for enhanced genetic association analyses; and (3) contributing to the development and testing of novel genomics research software and resources, developed here and elsewhere, for application to genomic studies of Alzheimer’s and other neurodegenerative diseases. The lab benefits from close collaboration with talented programmers, analysts, and lab technologists, in the Schellenberg and Wang groups in the PNGC, and offers opportunities for career development and academic advancement at PSOM.This position in particular will require management, processing, and review of analyses performed on large scale whole genome sequencing projects
Position is contingent on continued funding.
Qualified candidates should have a Bachelor’s degree and two to three years experience in genetics, epidemiology, bioinformatics, statistics, biology or other related fields or an equivalent combination of education and experience. Experience with management and analysis of human genetics data such as genome-wide association studies or next-generation sequencing data is required. Familiarity with R, Linux, SAS, Stata, C/C++, SQL, or web development strongly preferred.
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
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