Job Requirements: M.Sc. or higher Degree in Bioinformatics
Develop test plan and test cases for complex software system, including web based data analysis software, data management software and bioinformatics algorithm...$58 an hour From International Programming & Systems Inc. - 24 Dec 2015 13:21:54 GMT - View all South San Francisco jobs [More]
You may also develop tools for next generation sequence analysis, and perform custom data analysis to assist customers in the interpretation of their data.... From Thermo Fisher Scientific - 24 Dec 2015 15:17:31 GMT - View all San Francisco jobs [More]
The Structural Genomics Consortium at the University of North Carolina at Chapel Hill (SGC-UNC) and the Laboratory for Molecular Modeling at the UNC Eshelman... From University of North Carolina - 24 Dec 2015 18:10:43 GMT - View all Chapel Hill jobs [More]
Or Ph.D degree in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Molecular Biology, Bioinformatics, Computational Informatics,... From Johnson & Johnson Family of Companies - 27 Dec 2015 08:08:20 GMT - View all Raritan jobs [More]
Wendy Chung's Lab at Columbia University Medical Center is seeking a highly motivated associate research scientist with strong expertise in bioinformatics.... From Columbia University - 29 Dec 2015 01:32:03 GMT - View all New York jobs [More]
Graduate degree in bioinformatics or computational biology; This is an excellent opportunity for individuals with interdisciplinary training in biology and... From QIAGEN - 28 Dec 2015 09:40:54 GMT - View all Redwood City jobs [More]
In computational genomics, computational biology, bioinformatics or genomics with a strong background in RNA biology and excellent quantitative skills.... From Mount Sinai Health System - 29 Dec 2015 01:56:23 GMT - View all New York jobs [More]
Bioinformatics/Genetic Epidemiologist/Statistical Geneticist-Clinical Research Associate Tufts Medical Center, Ophthalmic Epidemiology and Genetics Service, seeks to identify an outstanding postdoctoral PhD Research Associate or entry level academic position with possible career advancement: for statistical genomic analyses including next generation sequencing for gene discovery, meta-analyses, and genetic database management, and to develop and participate in epigenetic and gene expression studies. The analyses will focus on large-scale data and discovery of associations between common and rare genetic variants and human disease, as well as associations between these genetic variants and other phenotypes or progression of disease, response to treatments. Goals of the position are to provide the core genetic, biostatistical and computational resource for the service and collaborators to conduct analysis of large-scale genomic sequencing and genotype data, to address new and emerging questions in the field of epigenetics, and to provide support for team-based research projects ongoing in the lab. Individual expertise will be fostered and encouraged through travel to scientific meetings, publications in peer reviewed journals, oral presentations, and growth in the academic environment. Major Responsibilities: Lead a project on data analysis involving next generation sequencing and gene discovery as well as gene-environment and genetic-epidemiologic association and longitudinal studies, develop new studies on DNA methylation, gene expression and gene mutation analyses. Develop and evaluate statistical/computational solutions to manage data Develop or acquire new computational tools for data analysis Interface and actively collaborate with other researchers, including external and academic partners Actively participate in supporting group members research projects/ cross functional teams [More]
N/A: University Hospital Heidelberg: The division of Bioinformatics and Systems Cardiology at the Klaus Tschira Institute for Integrative Computational Cardiology / Center of Internal Medicine III, seeks to fill two positions. Heidelberg [More]
Negotiable: Wisconsin Energy Institute: Support a variety of research projects at the experimental design, data analysis, and publication stages. Analyze RNA-seq, ChIP-seq, and metabolomics data in bacterial and yeast fermentation experiments and integrate multi-platform data. Madison, Wisconsin [More]