Job Area: Computational Biology
As we continue to build out our Computational Biology group, we are looking to add a talented summer intern/co-op who has exposure to NGS technologies as well as current machine learning approaches to help us analyze large datasets. The role involves analyzing both publicly available datasets (e.g ENCODE) and in-house generated data to gain insights into regulatory mechanisms specific to cell-types of interest... [More]
VL46 is seeking a computational biologist to join our expanding team as a part of our platform group. The position requires broad technical experience in computational biology, emphasizing the development of novel methods for interrogating high content ‘omics data and improvement of existing approaches. This individual will contribute scientific, technical, and leadership expertise... [More]
The Department of Bioinformatics and Computational Biology is seeking a highly motivated full-time computational biologist contractor to join our team. Our work is at the intersection of multiple disciplines including data science, cancer and molecular biology, statistics, and bioinformatics. An ideal candidate will apply their training to exciting problems in translational cancer genomics. [More]
A Postdoctoral Research Fellow position is available immediately in the Vaccine and Infectious Disease Division (VIDD) of the Fred Hutchinson Cancer Research Center (Fred Hutch), Seattle, WA. Responsibilities:The successful applicant will work with Dr. Joshua T. Schiffer to develop mathematical models that focus on optimizing treatment of viral infections, and in particular curative strategies... [More]
You are: A computational biologist committed to applying genomic techniques for clinical benefit;A highly organized and self-directed scientist who enjoys working in a team, can manage multiple tasks ; simultaneously, and can solve problems independently;Someone who thrives in a fast-paced, dynamic team-oriented environment with changing priorities;Experienced in both experimental and computational cancer genomic methodologies. [More]
The Xavier Lab in the Infectious Diseases and Microbiome program of The Broad Institute of MIT and Harvard is looking for postdoctoral associate candidate with a strong computational background to to investigate the mechanisms of host microbiome interactions in health and disease. The Xavier Lab, led by Dr. Ramnik Xavier... [More]
Bachelor's degree candidates only who would like to be considered for all open ACB positions. When you apply, we will work with you to identify your strengths and research areas to match you with appropriate ACB openings. We are looking for individuals who are enthusiastic about taking a hands-on, problem-solving approach, and collaborating with engineers and scientist in an informal collegial work environment that is infused with intellectual rigor. [More]
The laboratories of Patrick Ellinor and Steven Lubitz at the Broad Institute are looking for exceptional postdoctoral fellows to join our efforts. We are looking for a highly motivated and talented individuals with a computational background. You will collaborate with computational biologists, laboratory scientists, and clinicians in a collegial work environment characterized by informality and intellectual rigor. [More]
Computational postdoctoral positions are available immediately in Dr. Feng Yue`s laboratory at Penn State School of Medicine. The potential project includes investigating the mechanism and function of 3D genome organization. In particular, we are interested in the dis-regulation of 3D genome structure in cancer cells. The applicant is expected to have hands-on experience with processing Hi-C data, as well as RNA-Seq and ChIP-Seq data. [More]
As a member of the Computational Biology development team, you will be responsible for developing and implementing test plans, creating automated test suites, verifying bug fixes and conducting hands-on testing Graphical User Interfaces (GUIs). As a member of the Quality Engineering team, you will work on the release qualification for the Computational Biology toolboxes. [More]