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Position: Senior Bioinformatics Scientist
Institution: Stanford Medicine
Location: Stanford, California, United States
Duties: Conceptualize design, implement, and develop solutions for complex system/programs independently; Work with a variety of users to gain information, and develop intra-system tradeoffs between different users, as necessary; interact with a diverse client base and outside vendor contacts; Document system builds and application configurations; maintain and update documentation as needed; Provide technical analysis, design, development, conversion, and implementation work; Work as a project leader, as needed, for projects of moderate complexity; Serve as a technical resource for applications; Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment; Follow team software development methodology
Requirements: PhD in Bioinformatics, Statistics, Computer Science or related field; Proficient in R and Python, and a statistical analysis software e.g., SAS or SPSS; Experience implementing NGS analysis pipelines and bioinformatics approaches; Skilled in relational databases, data integration and statistical analysis
   
Text: Senior Bioinformatics Scientist Conceptualize design, implement, and develop solutions for complex system/programs independently; Work with a variety of users to gain information, and develop intra-system tradeoffs between different users, as necessary; interact with a diverse client base and outside vendor contacts; Document system builds and application configurations; maintain and update documentation as needed; Provide technical analysis, design, development, conversion, and implementation work; Work as a project leader, as needed, for projects of moderate complexity; Serve as a technical resource for applications; Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment; Follow team software development methodology PhD in Bioinformatics, Statistics, Computer Science or related field; Proficient in R and Python, and a statistical analysis software e.g., SAS or SPSS; Experience implementing NGS analysis pipelines and bioinformatics approaches; Skilled in relational databases, data integration and statistical analysis
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