Job Area: Computational Biology
Applicants are invited for a Bioinformatician or Computational biologist in the group of Dr. Yiliang Ding in the Department of Cell and Developmental Biology at the John Innes Centre to study the role of RNA structure in the post-transcriptional regulation of gene expression. The successful candidate will join a team working on the Big Data Mining of the genome-wide RNA structure study. [More]
We are looking for a talented, ambitious and highly skilled postdoctoral researcher with a background in gene regulation, promoter analysis, computational epigenomics or a related field. The candidate should have a strong publication record, indicating potential for independent high-impact research, as well as in-depth knowledge of molecular biology. [More]
The Pipas laboratory is searching for a Computational Biologist to assist in our virus discovery program and in projects focused on the panviral proteome. The position has funding for up to two years and can start May 1, 2017. This is an excellent opportunity for a graduating major with programming experience. The Pipas laboratory takes pride in training and mentoring Computational Biologists in an environment that is stimulating and interactive. [More]
Leidos’s Defense Health Operation is currently looking for a Bioinformatics Scientist to support biological research in support of the Biological Defense Research Directorate (BDRD) at the Naval Medical Research Center (NMRC) in Frederick, MD. The BDRD within NMRC facilitates biological research for the rapid detection of infectious diseases of global importance and the enhancement of global disease surveillance for early pathogen detection and response. [More]
This position is a 9-month position (renewable up to 3 years), non-tenure position with responsibilities focused on research at St. Cloud State University. We are looking for candidates to lead the effort on comparative metagenomics/metatranscriptomics analysis of microbial communities.Initially, the successful candidate research will focus on the establishment and evolution of the microbial community of an anaerobic digester under different nutrients and environmental conditions. [More]
Assistant Research Professor to head C. elegans Intervention Testing Project. Position will organize and coordinate a team of researchers who test the role of pharmacological interventions on C. elegans lifespan and healthspan, participating directly in screen studies and data analysis. ob is to head an effort for anti-aging drug discovery that involves simultaneous reproducing of studies at three distinct sites [More]
We are seeking a highly motivated Postdoctoral Fellow to be part of the GRC who will develop and apply computational and statistical methods linking gene-regulatory variation to disease relevant molecular mechanism (e.g. causal genes and pathways) and to integrate inferences of molecular mechanism with large-scale internal and external datasets describing clinical trial outcomes. [More]
The Department of Bioinformatics and Computational Biology at Genentech has an outstanding opportunity available for a highly motivated computational biologist. This individual will work closely with the Immunology Discovery and Immunology Diagnostics departments in the development of novel therapeutics and biomarkers for use in the treatment of autoimmune and inflammatory diseases. [More]
We are seeking an innovative, collaborative and enthusiastic scientist to work on a variety of computational biology and genomics projects centered on target identification and drug discovery. The individual will work on internal and external datasets, including next generation sequencing data and phenotypic screening data, and will develop tools and analysis strategies to generate focused hypotheses for target identification/validation and drug discovery. [More]
We seek a talented, collaborative interdisciplinary scientist to catalyze the development and application of computational approaches for translating genetic associations to mechanistic understandings. The successful candidate will develop and apply computational strategies to extract mechanistic insights from large proprietary genetic-centric and omics rich human datasets [More]