Job ID: 22150
Job date: 2017-09-20
End Date:
Company : University of Arizona Country : Role : Research Scientist
Job date: 2017-09-20
End Date:
Company : University of Arizona Country : Role : Research Scientist
Job Description:
Data7 Institute seeks a Bioinformatics/Research Computing Specialist. Duties & Responsibilities: • Analyze bioinformatics data using software packages, statistical applications, or data mining techniques, including genome scale de novo sequence assembly, sequence alignment, RNASeq differential expression analysis and functional annotation, construction of custom genomes; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Maintain and update software programs, analysis pipelines, and sequence databases on High Performance Computing systems; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Maintain awareness of new and emerging computational methods and technologies pertaining to statistical experiment design, gene ontology analysis, pathway analysis, and R/Bioconductor packages; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Conduct quality assessments of data inputs and resulting analyses and contribute to Standard Operating Procedure documents; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Enter, retrieve, and interpret information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases and be able to analyze cancer or disease related data; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Perform Microarray Expression analysis, SNP-chip data analysis, and 450K Methylation data analysis; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. Minimum Qualifications: o A Master’s Degree in bioinformatics or equivalent o One year of experience in the field of Bioinformatics, and high Performance Computing for Biomedical Data Analysis
Additional Info:
The job location is at the main campus at 1657 E Helen St. Tucson, AZ 85721. Data7 plays a key role in connecting UA researchers involved in the computational and informatics realm with those in domain sciences to align institutional expertise, computational resources and infrastructure to achieve outcomes not easily attainable as individual investigators or within purely disciplinary teams. With more than $606 million in research and development dollars from federal, state, and private sources, The University of Arizona currently ranks #21 among public universities in the US in overall research expenditures and #2 in physical science research. With world class faculty in fields as diverse as astronomy and space exploration, plant science, biomedical science and biotechnology, anthropology, Native peoples, business, law, philosophy, music, and dance, the UA is one of only 62 members in the Association of American Universities. The University’s main campus is situated in the heart of Tucson. Surrounded by mountains and the high Sonoran Desert, Tucson boasts a distinctive southwestern feel and enjoys more than 300 days of sunshine each year. The UA today has over 43,000 students, and nearly 15,600 employees. The main campus has grown from its original 40 acres to more than 350 acres, and boasts the oldest continually maintained green space in Arizona. The University of Arizona offers a broad range of educational programs and support services that attract an excellent and diverse student body. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more! Diversity Statement At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. We translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we encourage diverse candidates to apply, including people of color, women, veterans, and individuals with disabilities. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.[Click Here to Access the Original Job Post]
Data7 Institute seeks a Bioinformatics/Research Computing Specialist. Duties & Responsibilities: • Analyze bioinformatics data using software packages, statistical applications, or data mining techniques, including genome scale de novo sequence assembly, sequence alignment, RNASeq differential expression analysis and functional annotation, construction of custom genomes; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Maintain and update software programs, analysis pipelines, and sequence databases on High Performance Computing systems; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Maintain awareness of new and emerging computational methods and technologies pertaining to statistical experiment design, gene ontology analysis, pathway analysis, and R/Bioconductor packages; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Conduct quality assessments of data inputs and resulting analyses and contribute to Standard Operating Procedure documents; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Enter, retrieve, and interpret information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases and be able to analyze cancer or disease related data; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. • Perform Microarray Expression analysis, SNP-chip data analysis, and 450K Methylation data analysis; using the knowledge of large scale genomic data analysis, High Performance Computing systems , R/BioConductor packages and development of software for scientific applications, visualization, and web interfaces. Minimum Qualifications: o A Master’s Degree in bioinformatics or equivalent o One year of experience in the field of Bioinformatics, and high Performance Computing for Biomedical Data Analysis
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Additional Info:
The job location is at the main campus at 1657 E Helen St. Tucson, AZ 85721. Data7 plays a key role in connecting UA researchers involved in the computational and informatics realm with those in domain sciences to align institutional expertise, computational resources and infrastructure to achieve outcomes not easily attainable as individual investigators or within purely disciplinary teams. With more than $606 million in research and development dollars from federal, state, and private sources, The University of Arizona currently ranks #21 among public universities in the US in overall research expenditures and #2 in physical science research. With world class faculty in fields as diverse as astronomy and space exploration, plant science, biomedical science and biotechnology, anthropology, Native peoples, business, law, philosophy, music, and dance, the UA is one of only 62 members in the Association of American Universities. The University’s main campus is situated in the heart of Tucson. Surrounded by mountains and the high Sonoran Desert, Tucson boasts a distinctive southwestern feel and enjoys more than 300 days of sunshine each year. The UA today has over 43,000 students, and nearly 15,600 employees. The main campus has grown from its original 40 acres to more than 350 acres, and boasts the oldest continually maintained green space in Arizona. The University of Arizona offers a broad range of educational programs and support services that attract an excellent and diverse student body. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more! Diversity Statement At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. We translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we encourage diverse candidates to apply, including people of color, women, veterans, and individuals with disabilities. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.[Click Here to Access the Original Job Post]