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Texas A&M University · 3 weeks ago

Research Specialist I (Applications Developer)

Prairie View, TX

Full-time

Onsite

Mid Level

4+ years exp

Prairie View A&M University is seeking a Research Specialist I (Applications Developer) to plan, design, develop, and maintain applications that support NRES research and public engagement. The role involves creating high-quality data pipelines and decision-support tools while collaborating with interdisciplinary teams on projects related to water risk and precision agriculture.

Higher Education

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Maintain, enhance, and troubleshoot NRES-developed applications (e.g., IrrigWise, IrrigWise-PRISM, WeatherAndSoil, IWET) to ensure continued functionality, usability, and performance

Design and develop new applications and tools for NRES-related data processing, visualization, and management

Integrate data from various sources and databases (e.g., environmental sensors, weather/climate data, remote sensing, research datasets)

Apply AI and advanced analytics techniques, including image analytics (classification, object detection, vegetation indices) and geospatial analysis (GIS), to support NRES research and decision-making

Deploy and manage sensors in laboratory and field experiments (e.g., rain/flow, soil moisture, water quality sensors)

Support UAV flights, GNSS/RTK use, and ground-truth sampling to generate high-quality datasets for NRES projects

Develop user support resources, including user manuals, guides, and in-application help content

Provide training, troubleshooting, and technical support to faculty, staff, students, and external partners using NRES applications and tools

Provide training, troubleshooting, and technical support to faculty, staff, students, and external partners using NRES applications and tools. Performs other duties as assigned

Qualification

Programming languagesData integrationAIAdvanced analyticsEnvironmental data analyticsSoftware development processesLarge datasetsGeospatial analysisAnalytical skillsTechnical supportCommunication skillsTeam collaboration

Required

Minimum of a bachelor's degree in Computer Science, Information Technology, Management Information Systems, Computer Engineering, Informatics, or a closely related field

Four or more years of programming experience with solid knowledge of current programming languages and methodologies

Strong analytical and critical thinking skills, with demonstrated ability to solve complex technical problems and work independently as well as in teams

Proficiency in one or more of the following programming languages: C, C++, JavaScript, Visual .NET, Java, R, Python

Strong background in working with large datasets and data-intensive applications

Familiarity with multiple operating systems and platforms, including Windows, Linux, and Mac environments

Effective oral and written communication skills and the ability to collaborate with interdisciplinary research teams and non-technical stakeholders

Ability and willingness to work in laboratory and outdoor field environments (heat, humidity, uneven terrain) as needed for sensor deployment, data collection, and UAV operations

Ability to travel to on-campus and off-campus research and field sites, which may occasionally require early morning, evening, or weekend work aligned with field and data collection schedules

Valid driver's license (or ability to obtain) and eligibility to operate university vehicles, in accordance with university policy

Willingness to obtain and maintain any required certifications for operating UAVs/remote sensing platforms and to follow all university and regulatory safety protocols

Ability to lift moderately heavy objects

Ability to exert heavy force

Work beyond normal business hours and/or work on weekends

Preferred

Experience working in a higher education or research environment

Experience with machine learning, web applications, and tool development, particularly in environmental, agricultural, or natural resources contexts

Experience designing and implementing workflows for environmental data analytics (Python/R), remote sensing (UAV/satellite), and machine learning for image classification/segmentation

Experience installing and maintaining environmental sensors (rain/flow, soil moisture, water quality), conducting UAV flights, utilizing GNSS/RTK, and performing ground-truth sampling with QA/QC

Strong understanding of software development processes (version control, testing, documentation, deployment)

Familiarity with emerging technologies, including AI, big data, and automation, and their applications in research and decision-support tools

Knowledge of systems architecture, network security, cloud computing, and data governance as they relate to research data and web applications

Ability to design and implement robust workflows and pipelines for environmental and geospatial data analytics and visualization

Company

Texas A&M University

Glassdoor4.4

Texas A&M University has a proud history that stretches back to 1876 when The Agricultural and Mechanical College of Texas became the first public institution of higher learning in the state of Texas.

Founded in 1876

College Station, TX, US

10001+ employees

https://tamu.edu

H1B Sponsorship

Texas A&M University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (322)

2024 (292)

2023 (214)

2022 (207)

2021 (109)

2020 (141)