Job Summary: Works independently and collaboratively, both externally with collaborators at the Texas Advanced Job Summary: Computing Center (TACC) and their nationwide users, and internally with colleagues in UITS Research Technologies (RT) and researchers at IU, to support and promote high-performance and high-throughput data analysis methods using the NSF-funded "Stampede" supercomputer at TACC.

Oversees the installation, testing, optimization, and maintenance of the data analysis program "R" as well as other open-source and commercial packages as required by project leadership and the user community. Develops documentation for the use of R on Stampede and develops articles for the XSEDE Knowledge Base; and conducts training workshops in conjunction with TACC and XSEDE staff at major high-performance computing conferences. Provides expert extended consulting to advanced users on the application of R, including the integration of R with other software tools on Stampede and other NSF-supported cyberinfrastructure.

Uses software engineering practices, particularly open source libraries and tools, to develop modules and integrate those modules into larger software systems. Serves as the highest point of escalation on problem resolution for large-scale data analytics and its integration into scientific and scholarly workflows. Generates and tracks usage and consultation statistics; develops reports on usage and notable applications; and stays abreast of emerging technologies and trends in the area and conduct periodic forward-looking analyses.

Qualifications: Review your qualifications prior to applying to ensure that you meet the minimum qualifications for the position. Resume and cover letter required.

REQUIRED: Master's degree with advanced training in statistics, mathematics, science, or closely related field and five years of experience in supporting statistics and analytics applications in a highly heterogeneous support environment, encompassing a variety of research domains, software packages, and distributed computing resources.

Experience investigating new technologies and leading installation, training and development on such technologies; experience leading major research projects or initiatives; experience in systems analysis and deployment with widespread impact; and experience with high-performance or high-throughput optimization on a large-scale computing system.

Experience with R; and excellent written and oral communication skills and interpersonal skills required for sustained interactions with external and internal research faculty, graduate students, and staff members. Ability to serve as lead spokesperson for data analysis support for the Stampede project; and ability to interact with people of varying knowledge levels. Ability to work effectively in a highly collaborative research and development environment; and ability to foster and maintain collaborations with internal and external academic researchers through a balanced, service-based approach.

Able to operate effectively in a complex and dynamic environment with the capability of functioning as a project leader; and demonstrated ability to learn new technologies and tools. Demonstrated initiative in evaluating and adopting new technologies; ability to interact successfully with staff and faculty in extended consultations; and demonstrated enthusiasm for new technologies. Ability to deliver excellent outcomes under high pressure and short deadlines; demonstrated conceptual, analytical, and logical abilities; and possess strong organizational and leadership skills.

Preferred: Ph.D; experience with statistical and analysis packages such as SAS, SPSS, Stata, and MATLAB, and any accompanying development and subroutine libraries; experience with GPU optimization of codes; experience with data analytics toolkits; and experience with multiple computer platforms.

Other: Applicants for the principal role will be expected to author or co-author peer-reviewed publications as well as externally funded grants.

Due to its externally facing function, this position reports directly to the director of visualization and analytics within RT. It is anticipated that this individual will work most closely with the UITS Research Analytics group, but will also collaborate with the High Performance Systems, Research Storage, Advanced Visualization, Science Gateways, and Scientific Applications and Performance Tuning groups within RT.

All employees of the Research Technologies Division of UITS work in a highly collaborative environment which requires of all employees' willingness to cooperate and collaborate with colleagues and clients, openness with information, professional and respectful approaches to collaboration and contention, and compliance with university policies including IU's Intellectual Property policies. Code and documentation developed by staff in relation to or as part of their professional work activities are, unless otherwise designated in advance, considered to be the Intellectual Property of IU, per IU Intellectual Property guidelines. Code and documents are to be stored and maintained within identified shared code and document repositories, shared with other entities within IU, and disclosed to IURTC promptly. All employees are required to uphold and support IU's mission in deed and in spirit - and particularly its activities in research, education, and engagement in the State of Indiana and beyond.

Applications accepted until March 21, 2013, or until position is filled.

Apply to OLA 7943.

Indiana University is an Affirmative Action/Equal Opportunity employer and a provider of ADA services. We value diversity and encourage applications from women, members of minority groups, and persons with disabilities.

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