Assistant Research Scientist - Assistant Agriculture Data Center Specialist

** Job Title
** Assistant Research Scientist - Assistant Agriculture Data Center Specialist
** Agency
* * Texas A&M Agrilife Research
** Department
* * Corpus Christi
** Proposed Minimum Salary
** Commensurate
* * Job Location
** Corpus Christi, Texas
** Job Type
** Staff
* * Job Description
**** About Texas A&M Agri Life
** Texas A&M Agri Life is comprised of the following Texas A&M University System members:

As the nation’s largest most comprehensive agriculture program, Texas A&M Agri Life brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M Agri Life is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

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*** you
* ** can be a part of Agri Life and make a difference in the world!
** Position Information
** Texas A&M Agri Life Research at Corpus Christi, is seeking a highly motived 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.
** Responsibilities:**-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.

-Full-time, on-site position.

-Other job-related duties as required.
*
* Required Qualifications:

**-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, Svelte Kit, 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…