Job Area: Computational Biology
Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career. [More]
The charge of the Scientific Computing team is to build into the ECL the cutting-edge computational tools and techniques that can significantly augment the research process for any life scientist, but which are in practice technically involved enough that they are only accessible to computational biologists and computational chemists. You will introduce modeling and simulation tools across the comprehensive list of in vitro life sciences experiments offered through the ECL, spanning fields as diverse as computational chemistry, bioinformatics, systems biology, and more. [More]
HJF is seeking a Computational Biologist for the Bioinformatics Core of the Collaborative Health Research Initiative Program (CHIRP) located at the Uniformed Services University of the Health Sciences in Bethesda, Maryland. HJF provides scientific, technical and programmatic support services to CHIRP. CHIRP is a collaborative precision medicine research program between the National Institutes of Health and the Department of Defense with a focus on heart, lung, blood and sleep disorders. [More]
The Plant Biology Division of the Samuel Roberts Noble Foundation, Inc. in Ardmore Oklahoma is seeking applicants for the position of Computational Biologist. The successful applicant will conduct research in computational biology and bioinformatics theory and methods with a focus on the research and development of innovative methods, tools and bioinformatics systems. [More]
We are looking for data scientists to improve our client's data pipeline and build analytical tools to turn our data into insights. This is a direct hire permanent opportunity located in the RTP area.Projects Include: Integrating knowledge about the network of metabolic interactions: we have a wealth of knowledge about the chemical reactions underpinning cellular metabolism. How can we use this knowledge to focus our analysis on results that are more likely to be biologically real and relevant?... [More]
In this role, you are required to use quantitative genetics, GIS (geographic information systems), advanced mathematical models, operations research techniques, simulation and strong business acumen to deliver insight, recommendations and solutions for Seeds Product Development science and business problems. You are required to formulate and apply mathematical modelling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation or other managerial functions. [More]
As a member of our Computational Biology team at Foundation Medicine, you will work with software engineers and computational biologists focused on the analysis of next-generation sequencing data to characterize genetic alterations and biomarkers in DNA and RNA. Together we will build and maintain robust pipeline infrastructure to run highly concurrent data-intensive analyses, enhance and optimize scalable data solutions, and develop web applications that enable global production operations on cloud deployed systems. [More]
The College of Engineering (CoE) at the University of Missouri (MU) is hiring multiple faculty members in the area of Computational/Systems Biology and Bio Big Data. These tenure-track/tenured positions are at all ranks specializing in computational biology, systems modeling, or informatics, with applications for large scale biological datasets. We are particularly interested in individuals incorporating quantitative approaches in their research to address fundamental questions at the interface of engineering and the life sciences. [More]
e-Therapeutics is a company pioneering the use of novel computational approaches to drug discovery. We are looking for a computational biologist to join our informatics team and contribute to the development of our next generation discovery platform. Example projects could involve working on the application of machine learning to the prediction of cellular interactions, the analysis of post-genome data sets to inform and guide drug mechanism of action experiments, and development of network biology based approaches to drug discovery. [More]
The role of this candidate will be to analyze rare disease exomes and genomes in order to identify causal candidate genes and variants. This will involve improving and maintaining scalable pipelines required for the analysis of large genomic data sets. Lastly, the candidate will also manage and coordinate activities for their respective rare disease cohorts. [More]