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Semantic Web Jobs: Stanford

By   /  August 7, 2014  /  No Comments

The Stanford University School of Medicine is looking for a Software Developer, Research in Palo Alto, CA.

Stanford-University-logoThe Stanford University School of Medicine is looking for a Software Developer, Research in Palo Alto, CA. The post states, “The Department of Pediatrics, division of Systems Medicine is seeking a Bioinformatics Specialist. He/She will conduct research and development in biomedical informatics and biostatistics, by architecting, developing, maintaining, and documenting a bioinformatics software infrastructure that integrates disparate forms of clinical and genomic data and offers other evolving capabilities to support research activities. Responsibilities for this position include, (1) to develop and implement novel computational techniques in software that can reanalyze public repositories of clinical and genomic data, (2) to design, implement, and support novel software tools that allow for complex, biologically-driven queries across multiple types of data, (3) to manage third-party programming services in the development, documentation, and release of public bioinformatics resources.”

Qualification for the position include: “Strong experience and proficiency with (1) compiled (e.g. C, C++, Java) and interpreted (e.g. PERL, Python, Ruby) programming languages, (2) statistical or engineering software (e.g. Matlab, preferably R), (3) relational database management systems such as MySQL or Oracle, (4) structured data file format approaches such as XML or RDF, (5) web-server and web-services technologies and tools, such as PHP, JSP, or SOAP (6) the use of common bioinformatics tools and algorithms, such as BLAST, SAMR, NCBI and EBI eUtils, and (7) knowledge mining technologies such as Weka and semantic web technologies, and (8) the use of high-performance computing (HPC) management software such as Sun Grid Engine (SGE), PVM, or MPI or cloud-based computing (e.g. Amazon, or others), is required… Strong experience in data mining and statistics is a must.”

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Image: Courtesy Stanford

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