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Department: 063001 - NC Inst of Climate Studies
Location: Asheville, NC
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.
Relevant Ph.D degree (or relevant terminal degree), or relevant Master’s degree with at least 5 years of formal post-degree professional work experience. In rare instances, an individual with a comparable professional experience but less than a master’s degree, plus 8 years of exceptional relevant professional experience. May require terminal degree and licensure.
- 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 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.
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.
Required license or certification:
Position Number: 00102340
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