Job Skills: Programming in R
The Gerstung group is looking for a highly talented postdoctoral researcher to contribute to their research in computational cancer biology. Research in the group includes large-scale international projects such as the ICGC PanProstate consortium utilising cloud computing to enhance our understanding of prostate cancer. Other streams of research cover the genomic, epigenomic and transcriptomic analysis of precancerous lesions in different tumour types, which are conducted in collaboration with the Wellcome Trust Sanger Institute and the University of Cambridge. [More]
Will assist with bioinformatics projects in the TIGSS Bioinformatics Service Core and will assist in developing and delivering hybrid bioinformatics courses for undergraduate and graduates students. Requires competency in biological programming language such as Perl or R. Previous bioinformatics teaching is a benefit. [More]
The Bioinformatics Fellowships are unique, semi-autonomous postdoctoral positions at the Research Associate Level that provide informatics training with the goal of mastering the large skill set needed for RNA bioinformatics analysis. Fellows will develop and apply software for the analysis of a variety of RNA sequencing and other experiments to measure: [More]
Genentech seeks a talented and highly motivated candidate for a computational biology position in translational oncology research. The successful candidate will get the opportunity to pair world-class science with real human impact.We are looking for a new member in our team with outstanding computational skills, experience with the analysis of large-scale data, and an understanding of cancer biology. A successful candidate will pursue creative solutions to complex problems via the analysis and interpretation of a variety of data. [More]
Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. [More]
Contribute to solutions driving easy, automated analysis of human genetic variation obtained by high-throughput sequencing; Develop algorithms and applications deployed in production software for inferring biological knowledge from millions of short reads, and will optimize and validate application software; Work on applications of next generation sequencing, including some or all of the following: detection of ultra-low frequency variants, detection of gene fusions, detection of deletions and other structural variants, quantitation of differential gene expression; [More]
Personalis is a genome-scale diagnostics company pioneering genome-guided medicine. Our research and clinical products are focused on diagnosis and treatment of cancer and genetic disease. Located in Menlo Park, CA, we are seeking an individual with experience in bioinformatics and human genetics to join a team developing leading-edge genomics assays and analysis tools at the core of a new generation of high accuracy, genomics-based diagnostics for cancer and genetic disease. [More]
The algorithms and data analysis department seeks a talented and motivated individual to provide advanced analytical and software support for product research and development efforts. The successful candidate in this position will work closely with the Data Analysis team to develop analysis methods for genotyping SNPs and other complex variants. Approaches will target genotyping species of non-human organisms, with genomic complexity such as inbreeding, polyploidy, paralogous sequence variation, and subpopulation diversity. [More]
We seek a Post-Doctoral Fellow/ Computational Biologist to join the Analytical Genomics of Complex Traits team on an exciting multi-omics project to characterise the biological processes underpinning osteoarthritis progression. In this position you will take a leading scientific role in a large-scale project that will combine methylation, chromatin immunoprecipitation sequencing, capture Hi-C, RNA sequencing, quantitative proteomics and whole genome sequencing data from disease-relevant patient tissue samples. [More]
The successful applicant will take a lead role in analysing Whole Genome, RNASeq and Bi-sulphate Sequencing data generated in collaboration with the Wellcome Trust Sanger Institute and Babraham Institute, to identify and predict potential relationships between genetic and epigenetic changes which occur during the long term maintenance of PSCs under the supervision of Professor Peter Andrews and Dr Marta Milo. [More]