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Assistant Researcher, Step I-VI: $63,600 - $82,700
School of Public Health, Division of Environmental Health Sciences
DUTIES:
The Assistant Researcher (AR) will work under Drs. Martyn Smith and Alan Hubbard in the Quantitative Biology: Biostatistics, Bioinformatics, and Computationcore of the UCB Superfund Research Program and other agency-funded grant programs. AR will apply known, cutting edge methods to analyze data from genome-wide association studies, reviewing their design and effectiveness and develop a web-based dissemination protocol for bioinformatic solutions. AR will develop novel approaches for analysis of high-dimensional biological and exposure data sets, characterized by many thousands of measurements made on each unit involving complicated research questions, to address the possible interaction of environmental exposures and high-dimensional measures of the genome, proteome, and other high throughput technologies.
AR will analyze high-dimensional data sets to identify methodologies that can both find patterns in high dimensional data sets as well as providing proper statistical inference for these patterns using semi-parametric, locally efficient, estimation with robust inference and the development of optimal methods used to integrate the statistical results into existing metadata to suggest relevant biological pathways and networks. AR will develop, manage, and support a centralized computational environment for study-related data mining and re-sampling based inference and provide guidance on the access of metadata/annotation and routines for leveraging such data to find overprinting of our results on existing hypothesized regulatory networks. The AR will maintain a web-based system that will allow for both efficient sharing of our unit’s methodological expertise with project researchers and ultimately serve as a tool for outreach to the general scientific community.
AR will independently develop manuscripts detailing methods and findings and advise and support fellow researchers on applicable bioinformatics approaches to analytical problems. AR will seek out new areas research and develop grant applications to fund these endeavors.
MINIMUM QUALIFICATIONS:
Ph.D. in biostatistics or a related field and 3-4 years relevant experience in bioinformatics research, analysis of genetic polymorphisms, and genome-wide association studies of complex genetic diseases. Requires thorough knowledge of the principles of genomics and experience in analysis of data related to genotyping, copy number variation, high-throughput sequencing, and transcriptomic and methylomic studies. Adv exp w/bioinformatics tools and databases including HapMap, dbSNP, PLINK, IMPUTE and/or Haploview and at least 2 years experience programming in Perl, C/C+, Unix shell scripting, and a statistical computing platform, such as Matlab or R. Proficiency in written, spoken, and technical English. Appropriate peer-reviewed manuscript publishing history. Programming experience using Ensembl API and Bioconductor software and evidence of independent grant development activity desireable. Start 7/1/12. Apply by 5/15/12. Send CV, 2 pubs, to: W. Brockett; UCBSPH; 50 University Hall, Berkeley, CA 94720-7356. UC is an Equal Opportunity/Affirmative Action employer. Please refer referees to the University’s Statement of Confidentiality, found at: http://apo.chance.berkeley.edu/evalltr.htm.