Job Skills: Programing in C
We are looking to recruit an enthusiastic, highly motivated Bioinformatician to work in the EGA and Archive Infrastructure Team at the European Bioinformatics Institute (EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. The successful applicant will work with a focused team of developers, biologists and user support personnel to provide a world leading reference genetic variation resource as part of the European Genome-phenome Archive (EGA) project. You will engage in both internal and external (national and international) collaborations, especially the RD-Connect consortium (www.rd-connect.eu) and will have the opportunity to gain expertise in biological ontologies, metadata and scientific data modelling primarily related to research into rare disease. RD-Connect is a platform for connecting databases, registries, biobanks and clinical bioinformatics for rare disease research. [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]
We are seeking a Computational Scientist to become a member of our computational biology team at our Cambridge office. As a Computational Scientist, you will work internally and externally to operationalize the graph technical vision by executing, evaluating and refining an integrated graph-based genomic analyses toolset to process raw data in high priority areas including calling hereditary variants, calling somatic/cancer variants, and calling RNA-Seq expression and variants (isomers). As a Computational Scientist you will work in teams to create and develop tools in an integrated graph genomic analyses toolset that will include global and local alignment, integrated graph caller, local iterative assembly, global assembly and phased haplotype assembly. [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]
Phoenix Bioinformatics is looking for a bioinformatics scientist to join our growing non-profit organization. The ideal candidate has experience in both development of new bioinformatics software and maintenance of standard bioinformatics software packages and databases serving academic researchers. S/he has experience with agile/lean software development methods and the ability to communicate effectively with both biologists and software developers. [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]
ProCovar is an ERC Advanced Grant funded project to explore the state-of-the-art in protein structure prediction and modelling using the latest coevolution-based methods, under the direction of Prof. David Jones in the Dept. of Computer Science at UCL. The Jones lab is currently seconded to the newly opened Francis Crick Institute and so this will also be an exciting opportunity to connect with the exciting research being carried out over there. [More]
The Plant Pathology department is seeking to hire a Postdoctoral Fellow for Dr. Jesse Poland's lab. This person will be expected to independently design and implement complex genomics research experiments using the latest statistical modeling and machine learning approaches. [More]
Our client a biotechnology company in the Cambridge, MA area is searching for a BIOINFORMATICS SCIENTIST who will be responsible for developing programs, algorithms, and user applications for sequence data analysis, assembly and packaging, genomic assembly and annotation, SNP discovery, and LIMS automation. [More]