Job Skills: Programming in Matlab
We are seeking a highly motivated scientist to join the bioinformatics team at the CGR and provide analytical support to DCEG. Working with DCEG investigators, external collaborators, CGR management and staff, the Bioinformatics Scientist I will provide leadership and support to the extensive DCEG GWAS analytical efforts. [More]
The primary job responsibility of the selected candidate will be the management of the main analysis pipeline used at TGen to automate the analysis of next-generation sequencing data. This job will involve frequent interactions with project leaders around the institute to develop project specific processes and to ensure projects are analyzed in timely manner. [More]
The Koren research lab in the Department of Molecular Biology and Genetics studies DNA replication timing and mutagenesis using predominantly genomic approaches. Specific interests include human variation in DNA replication timing, genetic determinants of DNA replication timing, non-random patterns of mutations along the genome, and epigenomics. [More]
The CI Developer will create and maintain elements of the CI, will need to work flexibly across multiple technologies, both front-end, back-end, and database, and will need to rapidly acquire skills in new programming languages and environments, packages, and databases. The project uses an aggressive array of technologies to deliver high-performance access to the stored networks and biological analytics, and to implement front-end integration with web-based interfaces and visualization. The developer will interact with scientists using the CI in bioinformatic and biological research. [More]
The research group “Junction of Statistics and Biology” led by Professor Jingyi Jessica Li in the Department of Statistics at UCLA invites applications for a postdoctoral position, available from November 2016. The research in the group focuses on developing statistical methods to address important biological and biomedical questions from high-throughput genetic and genomic data. Our current projects include: modeling bulk and single-cell RNA sequencing data for identifying and quantifying full-length mRNA transcripts, systematic identification of gene-gene and protein-DNA relationships using diverse genomic data, large-scale comparison of biological samples from different species using epigenomic and transcriptomic data, and statistical methodology development motivated by genomic applications (e.g., asymmetric error control in binary classification, high-dimensional variable selection, and measures of dependence). [More]
We are looking for a graduate-level co-op students in the area of bioinformatics and systems biology. In this position, the co-op will work side-by-side with Biogen Computational Biology and Therapeutic Area scientists to analyze large scale genomic and phenotypic data sets, leveraging computational, mathematical, and statistical approaches to address important scientific issues in novel therapeutic target discovery. The co-op will have the opportunity to watch the drug discovery process in action, and to contribute towards Biogen’s efforts to discover novel therapies for neurodegenerative and hematological diseases. [More]
We seek a talented, collaborative Bioinformatician to participate in algorithm design and implementation, development and maintenance of processing pipelines and data analysis, with a focus on Next Generation Sequencing (NGS) and data integration. This individual will play a key scientific role enabling innovative computational analysis strategies across a wide range of data sources to empower data-driven decisions and improve therapeutic outcomes in complex diseases of unmet medical need. [More]
Post Doctoral Researcher (Job Opening 424469) - Post Doctoral Researcher in the Department of Biomedical Informatics will work collaboratively with other departments at OSU, including Public Health, Food Sciences, and Human Sciences to develop analysis methods to interpret metabolomics data; assists with building computational framework for collecting data in murine colon cancer models and human cancer cell lines; participates as a team member with staff, students and collaborative researchers to interpret data and discuss project progress. [More]
Pacific Biosciences is seeking a Bioinformatics Scientist to support application development using SMRT® sequencing data, with focus on microbiology and metagenomics. The candidate will employ expertise in bioinformatics, data analysis, biological insight, and software engineering. The ability to interact with marketing, internal support and development; communicate with customers both pre- and post-sales; and communicate results to diverse audiences are important aspects of this role. This scientist will be working in a fast-paced commercial environment, interacting with customers, other scientists and engineers from a wide variety of backgrounds. [More]
Description We are searching for a highly collaborative individual to join a team of scientists focused on testing and translating human genetic discoveries into testable therapeutic hypotheses. We seek a human geneticist, biostatistician or genetic epidemiologist who is well-versed in analyzing human genetic data (DNA) of complex phenotypes. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on next generation sequencing and genome-wide association studies. [More]