Research Assistant Professor in Kansas City, KS
This position involves analysis of next-generation sequencing data (such as RNA-Seq, ChIP-Seq, MethylSeq, meta-genomic sequencing and target exome capture) and microarray data (such as 3'IVT expression
arrays, miRNA arrays and whole transcript expression arrays) generated from Illumina HiSeq and
Affymetrix Microarray platforms. It also involves analysis of RT-PCR data generated from different
platforms. Duties involve assisting investigators in identifying candidate genes, performing biological
functional and pathway analysis, assist with performing database (UCSC, Ensembl, Go, dbSNP, redSeq,
CCDS, 1000 Genomes, ENCODE) searches for biological features, help in experimental design, perform
multivariate statistical analysis in very large genomic data sets, applying computational and statistical
techniques to integrate genomic data (mRNA, miRNA, promoters, and other biological features),
performing data retrieval, summarization and presentation from public genomic databases, statistical
analysis (power analysis, survival analysis) and other bioinformatics/biostatistics tasks such as
transcription faction binding site prediction, miRNA target prediction and phylogenetic analysis.
Contribute to the teaching activities of the department. Provide seminars and workshops related to
bioinformatics to KUMC researchers.
Subject to the regulations of the State of Kansas, the Board of Regents and the University of Kansas
Medical Center. During the first six months of employment, the worker serves at the pleasure of the
Executive Vice Chancellor of KUMC and employment may be ended at any time during that period.
REQUIRED QUALIFICATIONS: PhD degree in Bioinformatics or related area with knowledge of statistics.
Two years of experience in bioinformatics.
Good scientific computing skills. Good programming skills (C++, Java, Perl, R, Matlab). In depth
familiarity with bioinformatics tools and algorithms particularly in the analysis of NGS data.
Demonstrated ability with multivariate analysis, Bayesian statistical models and regression analysis.
PREFERRED REQUIREMENTS: Strong communication skills and ability work individually and as a team.
If interested, please send CV to:
Don Warn
Managing Director of KIDDRC
3901 Rainbow Blvd.
Kansas City, KS 66160
E-mail: DWARN@kumc.edu