he Center for Innovation in Brain Science (CIBS) is the intellectual home for Neuroscience research across the University of Arizona campus. We specialize in research focusing on a cure for four neurodegenerative diseases; Alzheimer’s Disease, Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis, and Parkinson’s Disease. Our mission is to bring the innovations in brain science of the future to those who need a cure today.
Dr. Chang’s lab in CIBS is an interdisciplinary lab composed by computer scientists, bioinformaticians and biologists dedicated to researches from developing advanced mathematic algorithms in statistics/machine learning to applied real-world disease modeling. Our researches are fund by NIH. We work with a wide spectrum of disease conditions, including cancer, stem cell, Type2-Diabetics, Cardiovascular diseases, and neurodegenerative diseases (Alzheimer’s disease, MS, ALS, and
Parkinson Disease, Lewy Body Dimentia). We collaborate with clinicians, wet-labs at UofA as well as labs at world-class institutions, such as Columbia, Stanford, Duke, Mayo Clinic, Harvard/Broad, Emory, and Baylor, providing enormous opportunities for exciting research projects and high impact publications.
Our lab is seeking a motivated and high-quality scientist to join our team to work on computational systems biology and human diseases modeling. The expectation is that the selected candidate will focus on real-world disease modeling and have a strong background in biology and bioinformatics. The candidate will be responsible for processing and analyzing multi-scale omics data, such as WGS/WES, RNAseq data by applying cutting-edge NGS analysis methods.
The successful candidate will be supervised by Dr. Rui Chang and will have opportunity to develop their own research ideas as they fit within the general research interests of our group. The position will offer very competitive salary. The post is based at the University of Arizona, Tucson campus, within the Center for Innovation in Brain Science.
1)PhD degree in biology, bioinformatics, biostatistics, computational biology or a related field.
2)Demonstrated experience in writing scientific papers in analyzing omics data towards real-world disease modeling
3)Demonstrated working experiences in analyzing NGS data, including not limited to WGS, WES, RNA-seq data
4)Extensive experience in sequencing data tools such as Picard tools, SAMtools, FastQC, aligners such as BWA, Tophat, STAR, variant calling pipelines such as GATK tools / Queue, SAMtools mpileup, annotation packages and resources such as Ensembl, GENCODE, BLAST, GSEA, mSigDB, GWAS catalog, OMIM, KEGG, online data resources such as GTEx, TCGA, GEO, dbGaP, genotype processing, QC and analysis tools such as PLINK, IMPUTE2, relevant R packages such as limma, edgeR, MatrixEqtl, RNAseq tools such as featureCounts, HTSeq, Cufflinks.
5)Experience in pre-processing and imputation of single-cell RNA-seq data is a plus.
Duties & Responsibilities:
-Processing and analyzing multi scale omics data.
-Applying cutting edge methods to reconstruct disease models.
-Generate in silico hypothesis on drug targets.
-Work with our interdisciplinary team and wet-lab collaborators.
Please send cover letter and CV to Dr. Rui Chang