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Temporary Computational Data Specialist

  • NC, United States

$50 to $52 USD / hour

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Job details

Pay
$50 to $52 USD / hour
Posting language
English
Posted

Original job description

Posting Details

Position Information

Posting Number PG196282TM

Position Number 11ASO3774

Position Type Temporary

Essential Job Duties As a Computational Science Specialist, you will collaborate with a dedicated research team to advance innovative agricultural research through high-performance computing, agricultural data processing, cloud technologies, and machine learning. The Computational Scientist is required and expected to develop domain-specific skills related to their job. In this specific case we will expect a candidate to show proficiency and interest in agronomic areas such as plant phenology (common disease / growth stages / cropping system practices). In this position we are expecting this person develop their own understanding of the application(s) and make recommendations, and then implement those recommendations

This role offers a unique opportunity to bridge technology and agricultural science by enabling complex, nationwide research projects across diverse cropping systems while supporting team members in computational analysis.

From agricultural data processing and spatial visualization to bioinformatics to high-performance computing and cloud-based research environments, you will develop strategies to help the team solve complex agronomic challenges and contribute to a culture of innovation, collaboration, and continuous learning.

The Computational Science Specialist will play a critical role in advancing cutting-edge research across NC State working with our agricultural research team helping to deploy, optimize, and scale computational workloads on NC State’s high-performance computing (HPC) resources, national supercomputing centers (USDA SciNet), and commercial cloud platforms (AWS / Azure).

The successful candidate will provide computing expertise to the research team, supporting and guiding the development and optimization of data pipelines, software installation and management, database and website development, and scientific data analysis and visualization. Research projects involve a broad range of agronomic data types across diverse cropping systems, including geospatial/remote sensing data, weather and climate datasets, sensor telemetry, and field phenotypic data.

This role will maintain and support scientific software, workflows, and containerized applications using technologies such as Python, Docker, Postgres, Globus, SLURM, and MongoDB.

Is Time Limited No

If Yes, Appointment Length

Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:

  • Health Insurance for Temporary Employees
  • Enhance your career with LEAD courses

• Attend non-revenue generating sporting events for free.

Attain Work-life balance with our Childcare discounts, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.

Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.

Department Information

Job City & State Raleigh, NC

Department Crop and Soil Sciences

System Information

Classification Title Temporary-Technical/Paraprofessional

Working Title Temporary Computational Data Specialist

Position Information

Requirements and Preferences

Work Schedule 40/hrs per week, flexible

Other Work/Responsibilities

  • n/a

Minimum Experience/Education

  • B.S. Degree in Computer Science, Applied Mathematics, Statistics, or related field

Department Required Skills

  • Experience with high-performance computing, agricultural data processing, cloud technologies, and machine learning
  • Proficiency and interest in agronomic areas such as plant phenology (common disease / growth stages / cropping system practices)
  • Experience with Python, Docker, Postgres, Globus, SLURM, or MongoDB

Preferred Years Experience, Skills, Training, Education

  • Experience and/or course work related to an agriculture environment

Required License or Certification

  • Valid driver’s license

Valid NC Driver's License required? Yes

Commercial Driver's License Required? No

Recruitment

Recruitment Details

Anticipated Hiring Range $50-$52/hr

Recruitment Dates

Job Open Date 11/04/2026

Applicant Information

Quick Link https://jobs.ncsu.edu/postings/237018

EEO NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

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.

More about this job

Skills

  • Research
  • Process data
  • Cloud technologies
  • Machine learning
  • Collaboration
  • AWS
  • Microsoft Azure
  • Data analysis
  • Remote sensing techniques
  • Python
  • Docker
  • MongoDB
  • Computer science
  • Statistics
  • Valid driver's licence
  • Recruitment

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