Assistant Research Scientist - Assistant Agriculture Data Center Specialist

Texas A&M AgriLife Research-posted 2 months ago
Full-time • Entry Level
Corpus Christi, TX
Professional, Scientific, and Technical Services
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Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated Assistant Research Scientist-Assistant Agriculture Data Center Specialist to support the operation, development, and strategic growth of a state-of-the-art agricultural data center dedicated to advancing data-driven solutions in digital agriculture. Working closely with the Data Center Director and interdisciplinary teams, the Specialist will help manage infrastructure, develop analytics workflows, ensure data quality and interoperability, and support collaborative research that improves agricultural productivity, sustainability, and innovation.

  • Support development of a web-based open data framework, contributing to both front-end and back-end components to enhance data accessibility and interoperability.
  • Configure and maintain research database projects, ensuring metadata compliance, access permissions, and data integration standards across research sites.
  • Manage and update existing datasets, validate data quality, and maintain version control to support ongoing research.
  • Coordinate technical workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration.
  • Support daily operations of servers, networks, storage, and cloud environments, ensuring reliability, scalability, and data security.
  • Implement backups, disaster recovery protocols, and compliance with FAIR/CARE principles.
  • Develop automation tools and provide user support and training.
  • Support processing and integration of datasets, including UAV imagery, satellite data, IoT sensor data, and field observations.
  • Contribute to workflows for AI/ML applications, crop modeling, environmental simulations, and digital twin systems.
  • Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes.
  • Ensure data quality through standardized cleaning, validation, and metadata practices.
  • Integrate geospatial analytics, predictive modeling, and real-time decision frameworks to deliver scalable insights.
  • Collaborate on research projects, grant proposals, publications, and presentations.
  • Mentor students and staff on data management and best practices.
  • Travel to research site, conferences and meetings.
  • Other job-related duties as required.
  • Ph.D. in Agricultural Engineering, Computer Science, Data Science, Information Systems, or related field
  • Some experience applying analytics, modeling, or AI/ML approaches in agricultural or environmental research.
  • Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud).
  • Knowledge of full-stack development (Django, Flask, PHP, Next.js, Nuxt.js, SvelteKit, ASP.NET Core) and database management (MySQL, SQLite).
  • Familiarity with geospatial, UAV, sensor, and IoT data workflows and OAIS, FAIR, and CARE standards.
  • Experience with data visualization, automation, and software development for data science.
  • Knowledge of crop modeling, simulation tools (APSIM, DSSAT, APEX), or digital twins is a plus.
  • Strong analytical, communication, and collaboration skills with a commitment to advancing data-driven agriculture.
  • Ability to multitask and work cooperatively with others.
  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife
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