Job Skills: RNA-seq
The Dan Duncan Cancer Center is seeking a qualified candidate to fill a critical role in bioinformatics data analysis.The successful candidate will perform bioinformatics data analysis to understand epigenetic gene regulation and transcription dynamics in various biological processes and disease models such as cancer; will design, develop and test bioinformatics algorithms for RNA-seq analysis in the context of cancer and stem cells... [More]
A postdoctoral position is available in the laboratory of Dr. Lilia Iakoucheva at the University of California, San Diego Genomics and genetics of neuropsychiatric disorders. A postdoctoral position is open to applicants with strong computational biology/systems biology/bioinformatics/statistics/networks backgrounds who are interested in applying their experience to study psychiatric disorders (autism and schizophrenia). [More]
There are 2 opportunities for postdoctoral fellows with the Gentles and Diehn labs at Stanford, both analyzing genomic data in relation to treatment response and survival outcomes. One project is to develop and apply methods for identifying biomarkers and processes involved in lymph node and distant metastasis, initially focusing on public datasets. The second is focused on analyzing interactions with the immune system at primary tumor sites. [More]
Responsibilities include taking raw and/or normalized deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) seq or array data from large cooperative group studies, examine for sample outliers (R2 values) and then analyze using gene set enrichment analysis (GSEA), independent practice associate (IPA), and any other platform that is relevant. [More]
Under the direction of the Associate Director of Epigenomics, the Bioinformatics Scientist will combine expertise in programming, informatics, and biology to make independent, original contributions to the design and implementation of research studies. We seek a candidate who is enthusiastic about working in a dynamic “start-up” atmosphere similar to what might be found in the biotechnology sector, yet within a vibrant academic research University. [More]
The Department of Bioinformatics is seeking a highly-motivated bioinformatics data analyst to perform bioinformatic data analysis and application development. The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to support clinical development programs with a focus on analyzing NGS sequencing data and contributing to web application development. [More]
The position will be establishing a cloud-based repository, resource and analytical platform for high-throughput genetic and epigenome data to inform genetic and biological discovery in studies of diabetes. This effort will form one component of a collaborative project between four principal investigators and associated researchers at UCSD. [More]
The Department of Biochemistry and Molecular Genetics in Feinberg School of Medicine is seeking Bioinformaticains for the Shilatifard lab to support current Next Generation Sequencing projects with datasets including ChIP-seq, Total RNA-seq, Nascent RNA-seq, and GRO-seq. This position will use current open source software in conducting data analysis for a next generation sequencing system at basic or advanced level. [More]
A POSTDOCTORAL FELLOW position is currently open at the Institute for Genome Sciences (IGS) in collaboration with the department of Otorhinolaryngology-Head & Neck Surgery. Dr. Seth Ament (IGS) an expert in systems biology and neuroscience and Dr. Ronna Hertzano (Department of Otorhinolaryngology-Head & Neck Surgery) an expert in hair cell regeneration and functional genomics seek a talented postdoctoral fellow for a collaborative project to study the transcriptional regulatory mechanisms of hair cell differentiation. [More]
Analyze high throughput genomic data in collaboration with the group in Physiological Chemistry. Work with large and diverse genomic datasets with a range of NGS technologies including: RNA-seq, ChIP-seq, ATAC-seq. RESPONSIBILITIES: Writing R scripts for analysis and integration of NGS datasets; Analysis of RNA-seq datasets; Analysis of ChIP-seq datasets; Literature searches to identify published datasets, download, QC and analyze in the context of in-house data... [More]