Job ID: 12665
Job date: 2017-03-15
End Date:
Company : University of South Florida Country : Role : Research Scientist
Job date: 2017-03-15
End Date:
Company : University of South Florida Country : Role : Research Scientist
Job Description:
This position will provide active support for ongoing institute activities, especially the TEDDY type 1 diabetes study. Opportunities exist for proving support for other NIH-funded and privately funded type 1 diabetes research and disease prevention projects. The institute works in partnership with experts in metabolomics, microbiome/viral metagenomics, gene expression, proteomics, next generation sequencing (NGS) technologies and longitudinal repeated measure analytics. Priority consideration will be given to candidates with experience analyzing these types of high-dimensional data? however, other areas of statistical application will be considered. RESPONSIBILITIES: -Provide broad-based programming and analytic support for a wide variety of bioinformatic and genomic research projects and synthesize the data being analyzed into a broader biological context. -Design, develop and deploy high-performance computational software facilitating the research and development process within the TEDDY research group. -Assist scientific personnel in leveraging infrastructure resources. -Collaborate with other technical teams in specifying requirements for tools to enhance workflow efficiency and robustness. -Develop and utilize appropriate software methodologies for emerging genomic technologies. -Develop code in the R programming language for the analysis and graphical representation of complex data. -Implement, design, maintain and document data analysis pipelines and workflows. -Benchmark new tools for high-dimensional data analysis as well as develop and apply novel analysis approaches to existing genomics data. -Assist in the design of applications and databases developed by the software engineering team. -Design and guide development of complex systems for ensuring data integrity, in-house data monitoring and study status reports, and clinical trial database systems. -Apply best practices to the design, development, implementation and maintenance of programs. -Work with systems and solutions architects to coordinate development efforts throughout the data lifecycle. -Lead the establishment of policies and procedures related to data governance, effectively communicate their purpose and promote adherence throughout the Data Engineering team and institute at large. -Maintain detailed and organized records of project design, implementation and other materials as needed. POSITION QUALIFICATIONS: MINIMUM: Master's degree from accredited institution in an appropriate area of specialization, or a bachelor's degree in an appropriate area of specialization and three years related professional experience.
Additional Info:
ORGANIZATIONAL SUMMARY: The Health Informatics Institute (HII) is comprised of a diverse team of 25 faculty and more than 150 staff with expertise in biostatistics, epidemiology, bioinformatics, health informatics, computer science, genetics, nutrition, psychology, pediatrics, public health, clinical trials and health services research. With funding from the National Institutes of Health (NIH), Department of Defense, and other sources, the institute has an annual budget exceeding $50 million and provides the technical means to facilitate interaction and contributions in knowledge among physicians and patients throughout the U.S. and international communities. By strengthening this vital network, the institute aims to improve research on many different types of diseases. For more information about the HII, please visit http://hii.usf.edu. For more information about the TEDDY study, please visit https://teddystudy.org. This position is subject to a criminal background check. Posting End Date: Open Until Filled [Click Here to Access the Original Job Post]
This position will provide active support for ongoing institute activities, especially the TEDDY type 1 diabetes study. Opportunities exist for proving support for other NIH-funded and privately funded type 1 diabetes research and disease prevention projects. The institute works in partnership with experts in metabolomics, microbiome/viral metagenomics, gene expression, proteomics, next generation sequencing (NGS) technologies and longitudinal repeated measure analytics. Priority consideration will be given to candidates with experience analyzing these types of high-dimensional data? however, other areas of statistical application will be considered. RESPONSIBILITIES: -Provide broad-based programming and analytic support for a wide variety of bioinformatic and genomic research projects and synthesize the data being analyzed into a broader biological context. -Design, develop and deploy high-performance computational software facilitating the research and development process within the TEDDY research group. -Assist scientific personnel in leveraging infrastructure resources. -Collaborate with other technical teams in specifying requirements for tools to enhance workflow efficiency and robustness. -Develop and utilize appropriate software methodologies for emerging genomic technologies. -Develop code in the R programming language for the analysis and graphical representation of complex data. -Implement, design, maintain and document data analysis pipelines and workflows. -Benchmark new tools for high-dimensional data analysis as well as develop and apply novel analysis approaches to existing genomics data. -Assist in the design of applications and databases developed by the software engineering team. -Design and guide development of complex systems for ensuring data integrity, in-house data monitoring and study status reports, and clinical trial database systems. -Apply best practices to the design, development, implementation and maintenance of programs. -Work with systems and solutions architects to coordinate development efforts throughout the data lifecycle. -Lead the establishment of policies and procedures related to data governance, effectively communicate their purpose and promote adherence throughout the Data Engineering team and institute at large. -Maintain detailed and organized records of project design, implementation and other materials as needed. POSITION QUALIFICATIONS: MINIMUM: Master's degree from accredited institution in an appropriate area of specialization, or a bachelor's degree in an appropriate area of specialization and three years related professional experience.
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Additional Info:
ORGANIZATIONAL SUMMARY: The Health Informatics Institute (HII) is comprised of a diverse team of 25 faculty and more than 150 staff with expertise in biostatistics, epidemiology, bioinformatics, health informatics, computer science, genetics, nutrition, psychology, pediatrics, public health, clinical trials and health services research. With funding from the National Institutes of Health (NIH), Department of Defense, and other sources, the institute has an annual budget exceeding $50 million and provides the technical means to facilitate interaction and contributions in knowledge among physicians and patients throughout the U.S. and international communities. By strengthening this vital network, the institute aims to improve research on many different types of diseases. For more information about the HII, please visit http://hii.usf.edu. For more information about the TEDDY study, please visit https://teddystudy.org. This position is subject to a criminal background check. Posting End Date: Open Until Filled [Click Here to Access the Original Job Post]