Job Area: Computational Biology
Looking for a highly motivated individual to join the Cahan Laboratory (http://www.cahanlab.org) in the Department of Biomedical Engineering and the Institute for Cell Engineering at Johns Hopkins University School of Medicine. A major aim of our research is to develop computational and experimental tools to assess the fidelity of cell...more... [More]
Degree and area of specialization: The candidate must have either a Masters or PhD in computational biology, bioinformatics, biostatistics, or computer science with a strong background in biology or, alternatively, a PhD in Biochemistry, Genetics, or a related field with extensive experience in computational biology. Minimum number of years and...more... [More]
We are seeking a talented and driven programmer to join Computational Science and Engineering Group at QCRI. This person will work in a research environment that uses a combination of integrative bioinformatics approaches to study the molecular basis of human disease such as cancer and diabetes. This person will be responsible for the development and maintenance of the backend of a set of bioinformatics resource, as well as other data science tasks. [More]
Qatar Computing Research Institute (QCRI) is seeking candidates for the positions of Postdoc, Scientist and Senior and Principal Scientist to work within the Computational Science and Engineering (CS&E) team. The CS&E group at the Qatar Computing Research Institute (QCRI) is engaged in forward-looking research aimed at developing the computing,...more... [More]
Ability to perform data QC and interface with internal wet laboratory to ensure quality and compliance with appropriate internal policies is a required. Statistical skills and experience with large datasets (gene expression, proteomic data, and NGS), predictive models and diagnostics, network analysis, and clinical trial data are required. Proficiency in standard analytical platforms (e.g., R, Matlab) as well as, gene set enrichment and pathway analysis software tools (e.g.GSEA/GSVA, Thomson-Reuters GeneGo, Ingenuity, Cytoscape, etc.) is required. Programming skills in Python are highly desired. Strong communication (written and oral presentation) and organization skills, and ability to handle multiple projects simultaneously are essential. Expertise in predictive algorithms and experience in biomarker discovery and/or co-diagnostic development for pharmaceutical applications is preferred. [More]
Collaborate with biomarker scientist, medical directors, and pipeline teams to build analysis tools Communicate results and interpretation to a mix of research, clinical, and business teams Implement and evaluate new algorithms Support Research and Development team by analyzing NGS data to identify predictive response markers [More]
This role is to provide Bioinformatics verification and validation support for Illumina’s data analysis software. Develop, improve, and maintain test automation frameworks, standards, and tools. You will work in a cross functional team to perform verification and validation for Illumina DNA microarray and Next Generation Sequencing (NGS) analysis software locally and in the cloud. [More]
The successful candidate will work closely with other members of Ensembl on data production and pipeline development around the Ensembl release cycles. Future projects for the team include: scaling up gene annotation pipelines, improving our annotation of noncoding genes, automating and enhancing Ensembl’s RNA-seq annotation pipeline, and developing methods of analysing new data including full-length transcriptomic reads. [More]
We are seeking a Data Mining Specialist / Software Engineer to join our team in support of NIH. This position requires a background in predictive analytics and a variety of software development skills, as well as knowledge of multiple programming languages such as some combination of Python, Perl, Java,...more... [More]