Job Skills: Programming in R
Under the direct supervision of the Head of the Infections and Cancer Biology (ICB) Group, within the Infections (INF) Section, and in close collaboration with scientists in the section and others working in bioinformatics at IARC, the incumbent provides programming support to projects that require bioinformatics approaches to characterize the relevant genomic and epigenomic changes associated to infections that underlie the mechanisms of cancer formation. [More]
As a Verily Computational Biologist, you will conduct basic and applied scientific research into novel instrumentation, drug delivery, and diagnostic technologies. You will also develop data analysis methods, apply statistical machine learning tools to identify molecular/physiological/clinical markers of disease progression, and build integrative, mechanistic models to understand large-scale biological datasets. [More]
The Center For Epigenetics & Disease Prevention at IBT is seeking one highly motivated bioinformatics or postdoctoral investigators to develop and study novel approaches in data-driven biomedical research to discover new biomarkers, therapeutics, and to revolutionize health care or fundamental computational biology principles. Primary responsibilities include application and development of bioinformatic algorithms to process and analyze multiple types of high-throughput sequencing data, like ChIP-Seq, RNA-Seq and Bisulfite-Seq data. . [More]
In the position of Research Scientist/Bioinformatician, you will be responsible for performing statistical genetics and biostatistical work on several new and ongoing projects under the leadership of Dr. Kenan Onel, MD, PhD, Chief of Human Genetics and Genomics and Director of Clinical Genomics for Northwell Health. Please click here to learn more. [More]
The data science group here is not like those at other companies. We generate and process massive amounts of sequencing data on a system designed and built in-house from the ground up. As a Bioinformatics Data Scientist at Roche Sequencing Santa Clara, you will be performing analysis to drive development of our sequencing technology and apply it to a wide range of applications. [More]
The Clinical Biomedical Data Analyst will perform computational analyses of clinical and biomedical data with the aim of improving the prediction and diagnosis of heart and vascular diseases. Most projects will involve data extraction/cleaning/exploration followed by development and application of statistical and machine learning methods. The successful candidate will interact closely with Dr. Herman and other laboratory members, as well as collaborate with colleagues in the Penn Institute for Biomedical Informatics (IBI) and Penn Medicine Data Analytics Core (DAC). [More]
The Harvard FAS Informatics group and Boehringer Ingelheim Pharma (BI) are joining forces on an exciting project to explain the brain circuitry underlying symptom domains of relevance to the central nervous system. The project will build on a substantial body of work already undertaken by BI in collaboration with Circuit Therapeutics to further integrate and interrogate disparate datasets. These datasets range from optogenetics and behavioral phenotyping to single cell manipulation and next generation sequencing [More]
AbbVie is expanding its oncology hub on the West Coast, with three sites in the San Francisco Bay Area (Redwood City, South San Francisco, and Sunnyvale) focused on the discovery and development of novel oncology therapies. More than 1,000 AbbVie scientists, clinicians, and product developers with strong entrepreneurial roots work across these three sites. They combine their expertise in immuno-oncology, stem cells, and cell-signaling with their knowledge of bispecific antibodies, antibody-drug conjugates (ADCs), and covalent-inhibitor technologies to discover and develop novel cancer treatments. This position is based at Stemcentrx, AbbVie’s South San Francisco, CA location. [More]
Cancer is a complex, resilient disease. Cancer is also a genomic disease, and the key to understanding and defeating it is understanding the diverse genomic patterns that drive cancer. The first generation of cancer genomics delivered ‘things’ – mutations, amplifications, fusions, expression profiles, etc. We’re looking for an ambitious postdoc to help us understand the next generation of cancer genomics – the patterns of genomic changes that will reveal the molecular strategies used by tumors, and reveal new therapeutic possibilities. [More]
The Precision Medicine Data Scientist role is responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, bio-informatics, data-mining and visualization techniques on large clinical, demographic, and genomic datasets. [More]