Medical Science & Computing is searching for a Genomics Data Scientist / Computational Biologist to support the National Institutes of Health (NIH). This opportunity is full-time, and it is on-site in Bethesda, MD. Duties and Responsibilities: The Data Scientist is responsible for processing, analyzing complex data and developing insights from experimental data... [More]

Originally posted on 2018-05-10 - Ends on 2018-07-09

AbbVie Biotherapeutics, a center of innovation in oncology R&D located in Redwood City, California, is seeking a computational biology/bioinformatics at scientist or senior scientist levels, to play an integral role in a multi-disciplinary team focused on solving large-scale scientific problems in the immuno oncology field.  [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07
2018-05-08  -  LSP Bioinformatician  -    -  

The LSP is looking for a staff bioinformatician or computational biologists to work with data from a variety of experimental platforms with a focus on next-gen sequencing (NGS) technologies. These projects are highly collaborative and include scientists from different disciplines who work with the biomedical research community within the Harvard, MIT... [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

Repare currently has an outstanding opportunity available for a motivated and accomplished computational scientist. The successful candidate will develop and apply advanced data analysis approaches to impact critical decisions across all stages of oncology drug R&D, from target identification, translational research to clinical development.  [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

PURPOSE OF POSITION: To conduct independent research and support the independent research of others in a Medical Center dedicated to the care of infants, children, and adolescents. A Computational Research Associate position is immediately available in the Weirauch Lab. The Weirauch lab studies the mechanisms of gene transcriptional regulation, and the impact of disease-associated genetic variation on these mechanisms using computational and experimental methods. [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

A research opportunity is available with the U.S. Department of Agriculture (USDA), Agriculture Research Service (ARS), Northeast Area (NEA) and Animal Biosciences and Biotechnology Laboratory (ABBL), in Beltsville, MD. This is joint position between Animal Biosciences and Biotechnology Laboratory and Northeast Area Bioinformatics.  [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

We are looking for a talented Computational Biologist/Bioinformatics Scientist to join the Cell Metabolism team. Key Responsibilities: Analyze both small and large-scale biological data, including metabolomics, proteomics, and transcriptomics. In collaboration with biologists, drive understanding of how cellular metabolism is perturbed by environmental or genetic fluctuation... [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

Summary of Position: Seeking a talented and highly motivated scientist to work with an enthusiastic team of leading experts in the exciting and expanding areas of chemical exposures including DNA adductomics, exposomics, and metabolomics to develop, optimize, and implement mass spectrometry data analysis pipelines and analytical tools that enable comprehensive DNA damaging agents... [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for a Scientist, Computational Biology, to be located in Cambridge, MA. JHMI seeks a highly motivated Computational Biologist to conduct analyses of microbiome data leading to new target and diagnostic identification. You will develop and apply computational and statistical analyses across a wide range of data types. [More]

Originally posted on 2018-05-08 - Ends on 2018-07-07

Dr. Sheng Li’s lab at JAX-GM is seeking a computational biology postdoctoral associate who is interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. [More]

Originally posted on 2018-05-04 - Ends on 2018-07-03