Specializes in advanced search, recommendation, discovery and contextual matching. SeeqPod's technology is based on biomimetic approaches developed at the Lawrence Berkeley National Laboratory, relying on context and identification of hidden relationships in digital content and data. SeeqPod has developed applications in a number of verticals including life sciences, business and media.
Applications. Primary areas of interest include genomic and biomedical informatics, business and finance, and the entertainment industry.
Domain-specific data and ontology acquisition
Tuning of SeeqPod's relationship network algorithms for specialized applications
Intuitive presentation and visualization of results
Speed optimization and scalability of computational code
Work directly with the Chief Scientific Officer
terest in knowledge discovery, search and recommendation technologies.
Programming experience necessary.
Ability to work in a Linux environment utilizing mySQL, Python and CGI.