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Description: A bioinformatics postdoc position is available at the UCSF Benioff Children’s Hospital Oakland Research Institute. Our research group is interested in examining gene expression (from RNA-seq data) at multiple time-points to understand expression changes that occur over time and how they may influence clinical symptoms of rheumatoid arthritis. We are also interested in examining a potential role for long non-coding (lnc) RNAs as epigenetic regulators of expression over time, and their influence on clinical phenotypes. The successful candidate is expected to take a lead role in the bioinformatics analysis of RNA-seq data (coding and lnc RNAs) from multiple data points to evaluate changes in expression, and to perform statistical analyses to assess associations with clinical phenotypes. Co-expression analyses will also be involved. For further info on the project, see www.RApregnancy.org.
Qualifications: Applicants should have a Ph.D. in bioinformatics, computational biology, statistics or similar field, and must be proficient in statistical and scripting programming languages. Preference will be given to candidates with prior experience in analyses of RNA-seq data, other omics data, and co-expression analyses.
To Apply: Email cover letter, CV and contact info for 3 references to Damini Jawaheer, Ph.D. ([email protected])
gravatar for djawaheer
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djawaheer • 0
Description: A bioinformatics postdoc position is available at the UCSF Benioff Children’s Hospital Oakland Research Institute. Our research group is interested in examining gene expression (from RNA-seq data) at multiple time-points to understand expression changes that occur over time and how they may influence clinical symptoms of rheumatoid arthritis. We are also interested in examining a potential role for long non-coding (lnc) RNAs as epigenetic regulators of expression over time, and their influence on clinical phenotypes. The successful candidate is expected to take a lead role in the bioinformatics analysis of RNA-seq data (coding and lnc RNAs) from multiple data points to evaluate changes in expression, and to perform statistical analyses to assess associations with clinical phenotypes. Co-expression analyses will also be involved. For further info on the project, see www.RApregnancy.org.
Qualifications: Applicants should have a Ph.D. in bioinformatics, computational biology, statistics or similar field, and must be proficient in statistical and scripting programming languages. Preference will be given to candidates with prior experience in analyses of RNA-seq data, other omics data, and co-expression analyses.
To Apply: Email cover letter, CV and contact info for 3 references to Damini Jawaheer, Ph.D. ([email protected])