The Bioinformatics R&D Group in the Microarray business unit of Thermo Fisher Scientific seeks a talented individual with extensive experience with relational databases and excellent bioinformatics domain knowledge. The successful candidate will curate data in a large, relational database for genomic research and will drive the acquisition of information from both internal and public sources. [More]

Originally posted on 2017-09-20

Two graduate student positions (MS or Ph.D.) with research assistantships are available in the Department of Plants, Soils, and Climate / Center for Integrated Biosystems (CIB) in the College of Agriculture and Applied Sciences (CAAS) at the Utah State University (USU). The research projects available are within the general areas of bioinformatics... [More]

Originally posted on 2017-09-20
2017-09-19  -  Computational Biologist  -    -  

Sapient Consulting | Public Sector is looking for people who – simply put – are driven to make a difference. By solving some of today’s toughest challenges, our teams are helping to transform the government in the areas of business, technology and marketing. Working at Public Sector, you will be in an environment that fosters growth and creativity [More]

Originally posted on 2017-09-19
2017-09-19  -  Senior Data Scientist  -    -  

Schneider is seeking a Senior Data Scientist to join our innovative and growing Engineering team. The Senior Data Scientist will lead analysis and interpretation of large data sets to develop data driven recommendations to solve business challenges in real time. You will collaborate with multi-disciplinary teams of engineers and analysis's to gather and make sense out of unstructured data... [More]

Originally posted on 2017-09-19

We seek a talented Analyst experienced R programmer with experience in the analysis of expression microarray and/or other high-throughput biological data sets to assist with a variety of integrative genomic analyses in human populations. The scope of work will include differential gene expression analysis, data set creation, epigenetics and eQTL studies  [More]

Originally posted on 2017-09-19
2017-09-18  -  Researcher 6  -    -  

The osteosarcoma research group seeks an experienced PhD-level bioinformaticist to lead and develop novel analyses of genomic data amassed locally from various sources. The group is highly collaborative, multi-disciplinary, and requires a skilled bioinformaticist to design and lead computational analysis of the osteosarcoma genome.  [More]

Originally posted on 2017-09-19
2017-09-18  -  Bioinformatician II  -    -  

The Duke Human Vaccine Institute (DHVI) is searching for a candidate who will be responsible for performing a variety of bioinformatics analyses related to vaccine design. DHVI is recognized as a world-leading organization in vaccine development with an infectious disease vaccine candidate portfolio that includes HIV-1, influenza, and malaria.  [More]

Originally posted on 2017-09-18
2017-09-17  -  Computer Analyst  -    -  

We are looking for a highly-motivated individual to join the laboratory of Dr. David Pellman at HHMI, the Broad Institute, and the single-cell genome center at Dana-Farber Cancer Institute. The successful applicant will be responsible for analyzing single-cell whole-genome and whole-transcriptome sequencing data, and for interpreting, integrating, and relating transcriptional/genetic information [More]

Originally posted on 2017-09-18

The department of Computational Biology is looking for highly motivated and creative Bioinformatics Research Scientists/Clinical Genome Analysts to develop and apply innovative analytical and visualization approaches for studying and understanding the genetic variants and epigenetic modifications that drive pediatric cancers and other childhood diseases. [More]

Originally posted on 2017-09-18

Collect, organize, curate, and store large amounts of raw data to facilitate completion of other tasks and provide other staff with open access to non-manipulated data;Perform biostatistical analyses on datasets using Frequentist, Bayesian, and machine learning approaches appropriate for both the data and scientific question; Develop and implement bioinformatics pipelines and analysis methodologies... [More]

Originally posted on 2017-09-18