Syapse is looking for a Semantic Server Engineer in Palo Alto, CA. According to the post, “We are looking for an experienced back end developer to join us in building out our server-side semantic data stack. At Syapse, semantic technologies (RDF, SPARQL, OWL) are our foundation for organizing and integrating biomedical, genomics, and clinical data. Building this foundation out involves a mix of applying innovative technologies, and building an industrial strength, scalable back end. You will be joining a team that includes some semantic technology veterans, but has plenty of room for fresh thinking and design. You will be working with a mix of open-source and proprietary software to construct the back end for our data platform and application suite.” Read more
Posts Tagged ‘Syapse’
WASHINGTON, D.C. – SYSTAP, LLC. today announced that Syapse, the leading provider of software for enabling precision medicine, has selected Bigdata® as its backend semantic database. Syapse, which launched the Precision Medicine Data Platform in 2011, will use the Bigdata® database as a key element of their semantic platform. The Syapse Precision Medicine Data Platform integrates medical data, omics data, and biomedical knowledge for use in the clinic. Syapse software is delivered as a cloud-based SaaS, enabling access from anywhere with an internet connection, regular software updates and new features, and online collaboration and delivery of results, with minimal IT resources required. Syapse applications comply with HIPAA/HITECH, and data in the Syapse platform are protected according to industry standards.
Syapse’s Precision Medicine Data Platform features a semantic layer that provides powerful data modeling, query, and integration functionality. According to Syapse CTO and Co-Founder, Tony Loeser, Ph.D., “We have adopted SYSTAP’s graph database, Bigdata®, as our RDF store. Bigdata’s exceptional scalability, query performance, and high-availability architecture make it an enterprise-class foundation for our semantic technology stack.”
Intermountain Healthcare and Syapse Collaborate to Improve Access to Clinical Genomics for Community Oncologists
ST. GEORGE, Utah & PALO ALTO, Calif.–(BUSINESS WIRE)–Intermountain Healthcare (an internationally recognized not-for-profit system of 22 hospitals, a medical group with over 185 physician clinics, and an affiliated health insurance company) and Syapse (the leading provider of software for bringing omics data into routine medical use) announced today a collaboration to bring genomics-driven precision cancer care to oncologists within the Intermountain system and also worldwide. This new clinical service, Intermountain Cancer Genomics, will provide cost-effective, genomics-driven, personalized treatment planning through easy-to-use software. Read more
Syapse is looking for a Software Developer: Genomic Data Components in Palo Alto, CA. According to the post, “We are looking for a savvy developer to join us in bringing a world of actionable data into clinical genomics applications. Biomedical data exemplify the rule that data sets are most valuable when combined. At Syapse, we are building a powerful data platform for the lab measurements, clinical data, curated knowledge, genomic results, and other information upon which genomic diagnostic labs depend. We are looking for a colleague to join us with an initial focus on extending our data integration efforts. Integration targets range from large, publicly available data sets to live medical record systems. You will be resourceful and able to set up prototypes and internal systems quickly, meticulous and able to build high quality production components, and undaunted by scientific nature of the problem domain.” Read more
Syapse is looking for a Semantic Server Engineer in Palo Alto, CA. The post states, “We are looking for an experienced developer to contribute to our server-side semantic data stack. If you are interested in the semantic web stack (RDF, OWL, SPARQL) but have always felt that biotech and healthcare were the best application for these new technologies, then come and help us upend data management in that industry. You will be working with a mix of open-source and proprietary software, to build out the back end for our data platform suite. Areas of emphasis range from dynamic customization of ontologies and forms, to audit trail implementation, to faceted browse optimization, to integration with large-scale structured data. Server-side components will include a mix of open-source tools and our own implementations of various components.” Read more