The Division of Nephrology, Department of Medicine, Joe R. & Teresa Lozano Long School of Medicine has an opening for a full-time postdoctoral fellow in the lab of Dr. Kumar Sharma. The Renal Precision Medicine laboratory focus is on development of predictive and prognostic biomarkers and therapeutic targets and uses metabolomics, genomics, proteomics, lipidomics and imaging mass spectrometry tools in human and animal and cell culture models to identify mechanisms leading to diabetic kidney disease.
The responsibilities of the successful candidate will be to:
• Develop powerful analytic methods to better analyze and interpret data and Integrate high
throughput omics datasets (RNAseq, proteomics, lipidomics, metabolomics)
• Work in multidisciplinary and collaborative environment with experimental researchers and
statisticians to assist with data processing of different projects as needed
• Generate pathway analysis tools to analyze omics data to generate signaling networks and to
develop drug targets and pathways in diabetic kidney disease.
• Assist other lab members to maintain efficient sample and data storage and biorepository
• Candidates should have a Ph.D in Bio-informatics, Systems biology, Statistics, Computational
biology, or a closely related field and must be experienced in working with large-scale ‘omics’ data
• Strong background and experience in quantitative analysis methods including univariate and
multivariate analysis, statistical methods, regression models, machine learning, and bioinformatic
• Extensive experience in R and python
• Preference will be given to the candidates with experience in handling metabolomics, both targeted
and untargeted data
• Knowledgeable in metabolic disease areas will be a plus
• Independent research with the ability to work in a team setting
Please send following documents as combined single PDF to Manjula Darshi, Ph.D., email@example.com.
CV including education list, publication list and at least two names and email addresses of references. Summary of previous and current research and future plan (1-2 pages)