Research Scholar - Assessment Data Analyst

Position Number: 00102340

Primary Function of Organization Unit: The North Carolina Institute for Climate Studies (NCICS) is an UNC inter-institutional research institute whose primary focus is to promote the discovery of new knowledge about global, regional, and local climate variability and its impacts; and to provide information that is critical for determining trends and validating climate forecasts at all these spatial scales. One of NCICS' primary activities is the operation of the NOAA Cooperative Institute for Climate and Satellites North Carolina (CICS-NC) formed through a consortium of academic, non-profit, and community organizations with leadership from the University of Maryland, College Park (UMCP) and North Carolina State University (NCSU) on behalf of the University of North Carolina (UNC) System. CICS-NC provides foci for collaborative research and associated activities in support of NOAA mission goals related to meteorological satellite and climate data and information research and development.

Essential Job Duties: This position is located in Asheville, NC The Assessment Data Analyst (Research Scholar) will provide expertise in scientific programming and data analytics to address the software engineering needs of the institute's Climate Assessment activities including the following: - Design, develop, and maintain web-based tools for internal and external management of data, report drafts, report reviews, and author resources. - Provide innovative software engineering solutions for the needs of the assessment team. - Develop innovative analytical solutions to support the development and analysis of high quality, large-scale research data sets needed for assessment activities. - Work in a team environment developing integrated analytical and graphical applications. - Support integration of climate datasets into existing frameworks for data analysis and evaluation. - Plan, develop, and implement quality assurance, evaluation, and troubleshooting tools and applications to ensure accessibility and integrity of datasets and other end products. - Fully participate in unit (Institute, NCEI, TSU, etc) activities and meetings. - Other related duties as assigned.

Minimum Education/Experience: A Ph.D. in computer sciences, analytics, Earth sciences, engineering, or related field with at least 3 years experience in developing complex software solutions for working with large geophysical data sets, ideally climate data sets, as well as extensive experience with web- and cloud-based tools for data and applications management OR a Masters degree in one of the above fields with at least 5 years experience developing complex software solutions for working with large geophysical data sets, ideally climate data sets, as well as extensive experience with web- and cloud-based tools for data and applications management OR a Bachelors degree in one of the above fields with at least 8 years experience in scientific programming, analysis and specific work experience as reflected above.

Department Required Skills: - Excellent verbal and written communication skills and strong interpersonal skills. - Ability to multi-task and meet deadlines. - Must be able to work independently as well as make positive team contributions. - Demonstrated computer programming proficiency utilizing standard JAVA, Perl, Python, JavaScript, FORTRAN, C, C++, etc. -Demonstrated proficiency with database management using structured and unstructured approaches. - Two or more years of experience working with high performance computing systems; scalable, parallel architectures; and basic aspects of the UNIX/Linux operating systems. - Solid working knowledge of data processing/data analysis with statistical software (such as Pandas, SAS, R) and scientific data visualization software (such as Matplotlib, ggplot2, IDL). - Demonstrated advanced statistical techniques including proficiency with spatial statistics and time-series analysis.

Preferred Experience, Skills, Training/Education: Preference given to those with seven or more years experience working with in situ and remotely sensed climate data in large-scale databases, expert knowledge of data processing/data analysis with statistical software (such as Pandas, SAS, R) and scientific data visualization software (such as Matplotlib, ggplot2, IDL); two or more peer-reviewed publications in data analytics or a related area.

Necessary Licenses and Certifications: N/A

AA/EOE: NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.

Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. If highest degree is from an institution outside of the U.S., final candidates are required to have their degree verified at "www.wes.org":http//wes.org. Degree must be obtained prior to start date.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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