Posts Tagged ‘Senior Research Scientist’

Semantic Web Jobs: Siemens

SiemensSiemens is looking for a Senior Research Scientist in Berkeley, CA. According to the post, “The Web of Things research group in Berkeley, California has an immediate opening for a full-time Senior Research Scientist position to work on R&D projects in applying semantic technologies to embedded system for enabling Internet of Things applications in industrial contexts. The candidate will have extensive knowledge and experience in semantic technologies (ontologies, rules), semantic web services, knowledge representation and reasoning formalisms (RDF/OWL). The ideal candidate will have awareness of the state-of-the-art, strong network in the semantic technologies research community and the ability to transfer semantic methods to embedded devices provide working solutions for commercial, scientific or industrial applications.” Read more

Semantic Web Jobs: Eli Lilly

Eli Lilly

Eli Lilly is looking for a Senior Research Scientist, Information Technology, in Indianapolis, IN. According to the post, “The successful candidate for this role will: Leverage a growing compendium of electronic medical record (EMR) data and associated genomic results to increase understanding of disease mechanism and inform on target and biomarker identification; Develop and apply data analysis strategies for identification of drug-drug interactions using external data resources (e.g. FAERS, NHANES, PharmGKB, Drugbank); Actively work with IT colleagues in building modern data foundations and analytic tools for knowledge discovery from external healthcare and genomics information sources.” Read more

Semantic Web Jobs: Yahoo!

Yahoo! is looking for a Senior Research Scientist, Scalable Machine Learning in New York, NY. According to the post, “Machine learning and data mining are ubiquitous in Web research and stand at the core of Yahoo!’s products and platforms, involving important functions such as classification, prediction, ranking, clustering, sampling, compression, recommendation, dimension reduction, indexing, pattern mining and regression.  The technical challenges associated with these tasks have been extensively studied using standard computational models.  However, they still represent an open research area in large-scale, high-throughput data environments such as Yahoo!’s.” Read more