Job Area: Computational Biology
We are looking for a creative and insightful Trait Biology Analytics Team Lead to help us transform unprecedented genomics data into higher yielding crops and pest control solutions. You will lead a team that is using genomics data and bioinformatics tools to identify promising transgenes for future biotech crops. [More]
We are seeking an innovative, PhD level computational biologist to join the Merck Exploratory Science Center (ESC) in Cambridge, MA. Successful candidate will become part of a creative and flexible team that will investigate host/pathogen interactions and the influence of the microbiome on host immunity and immune responses to novel vaccines, with the ultimate goal of delivering novel therapeutics to address significant unmet medical need in infectious diseases, cancer and autoimmune diseases. [More]
The laboratory of Daniel Segrè at Boston University is looking for a highly motivated postdoctoral researcher to join an interdisciplinary team studying inter-species interactions in marine microbial communities. The focus of the research will be mathematical and computational modeling of microbial metabolism and multiscale ecosystem dynamics. [More]
Dr. Sheng Li’s lab at JAX-GM is seeking exceptional scientists who are 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]
We are looking for a highly motivated first-year postdoctoral fellow interested in developing computational methods related to expression quantitative trait, alternative (pre)RNA splicing, transcriptome-wide association studies and chromatin structures in normal and glioma cells. The post-doc will be jointly supervised by Drs. Liang Chen (Computational Biology) and Rose Lai (Neurology and Preventive Medicine). [More]
Applications are invited for postdoctoral positions in the laboratory of Dr. Ekta Khurana (http://khuranalab.med.cornell.edu) at Weill Cornell Medicine (WCM) in New York City. The research focus of the lab is to understand the role of genomic sequence variants in human disease. The successful applicants will be affiliated to the Sandra and Edward Meyer Cancer Center, the Englander Institute for Precision Medicine (IPM) and the Institute for Computational Biomedicine at WCM, and will have opportunities to collaborate with a diverse group of experimental and computational biologists. [More]
we are looking for a highly motivated and talented individual with a computational background to join the Cancer Data Science team. You will collaborate with scientists and engineers in a collegial work environment characterized by informality and intellectual rigor. By applying your computational and modeling skills to multimodal cancer data, you will drive the generation and testing of hypotheses leading to new biological insights. [More]
We are seeking a client facing Computational Biologist for ImmunoSEQ. In this highly computational data analysis role, you will play a critical role in ensuring that Adaptive’s employees, collaborators and clients can all continue to make breakthrough advances in hematology, immunology, oncology and other areas. Using your expertise in scientific programming and statistical analysis, you will turn high-volume immunosequencing data into scientific insights for Adaptive’s clients and collaborators. [More]
The research laboratories of Dr. Frank Pugh and Dr. Shaun Mahony, in the Department of Biochemistry and Molecular Biology at The Pennsylvania State University, are seeking a highly motivated, senior programmer with proven experience in developing open-source bioinformatic software and research applications. The hired individual will be the “go-to” person for development of bioinformatics projects in a team of ~25 scientists, faculty and technicians, working primarily with epigenomics data derived from next-generation sequencing (NGS). [More]
Job duties are to perform laboratory research and integrative 'omics data analysis to gain systems-level understanding of mechanisms underlying virus-host interactions, innate immune responses, and metabolic dysregulation, and host differences in viral suppression and therapeutic responses in HIV infection. [More]