University of California Riverside–Riverside, CA (US)
The Nuclear Receptor DNA Binding Project (http://nrdbs.ucr.edu) is seeking a bioinformatics postdoctoral researcher for its 4-year NIH-funded project. The bioinformatician will apply computational approaches to biological data generated by cutting edge technologies, such as Protein Binding Microarrays (PBM), ChIP-seq, RNA-seq and GWAS, and then link the information to data on human populations, including SNPs.
The bioinformatician will work closely with a molecular biologist who generates the biological data, as well as with collaborators in the nuclear receptor field. Direction will be provided by Prof.s Frances Sladek (Cell Biology and Neuroscience, http://www.sladeklab.ucr.edu/), Tao Jiang (Computer Science, http://www.cs.ucr.edu/~jiang/) and Thomas Girke (Director of the UCR Bioinformatics Core, http://girke.bioinformatics.ucr.edu/).
The goal of the project is discovery-oriented research publications as well as contribution to the Nuclear Receptor DNA Binding database (e.g., http://nrmotif.ucr.edu/aaSNP/aaSNP.htm).
Responsibilities include, but are not limited to, PBM analysis, genome-wide analyses (including microarray analysis, ChIP-seq, RNA-seq, motif searching and discovery), database development, web interface development, microarray analysis, biological network analysis, and data integration.
The project involves cutting edge research on mechanisms of regulation of gene expression, with an emphasis on transcription factor binding sites of clinical relevance. There are opportunities to develop new computational approaches for motif finding, gene network analysis and data integration as well as to gain experience in genomic approaches to transcription regulation and elucidate consequences of human genetic variations.
Minimum requirements are a Ph.D. in Bioinformatics, Computational Biology, Computer Science, (Bio)Statistics or Bioengineering (with a strong understanding of biology), or Life Sciences with strong computational skills. The successful candidate will have expertise in data analysis and database development and mining. Proficiency in at least one general purpose scripting language (e.g. Perl, Python, Ruby) and one statistical programming environment, such as R or Matlab, working under UNIX-based operating systems is required. Also beneficial are experience with Java or C/C++, database programming (e.g. MySQL or PostgreSQL) and web service development.
Excellent oral and written communication skills are required as well as interpersonal and organizational skills, creativity, versatility and an ability to multitask.
Familiarity with genomics (e.g., Next Gen sequence and microarray data analysis and UCSC Genome Browser) is preferred but not essential: opportunities for training an excellent candidate with other expertise exist.
The position is open immediately. It is funded by a 4-year NIH to Prof.s Frances Sladek and Tao Jiang. There is potential for renewal of the position depending on project success.
The University of California at Riverside (http://www.ucr.edu/) is part of the largest university system in the world. It is a growing, highly diverse campus with a strong emphasis in genomics (http://genomics.ucr.edu/) and a new medical school (http://medschool.ucr.edu/). It is located in sunny Southern California within 1.5-hour drive of Los Angeles (UCLA, UCI), San Diego (UCSD) and Palm Springs and proximity to beaches, ski resorts and the desert. It has excellent weather year round, affordable housing and excellent public schools.
Salary and benefits are competitive. Employment is via the University of California, an Equal Opportunity/Affirmative Action employer.
HOW TO APPLY:
Please send your CV as a pdf to Dr. Frances Sladek at [email protected], Subject line “UCR Bioinformatics Position.” Please include names and contact information for three referees.
Open until filled.