Senior Research Data Coordinator

Prof. Ibrahim Demir at the ByWater Institute, Tulane University, is seeking a highly motivated Research Analyst with strong full-stack web development expertise to support interdisciplinary research and data-driven initiatives. The successful candidate will lead or contribute to all aspects of web-based project development—including front-end, back-end, database design, API integration, server management, deployment, CI/CD pipelines, testing, and cloud-based infrastructure—while also participating in the broader research vision of the department.

REQUIRED EDUCATION AND EXPERIENCE

• Master’s degree in computer science, software engineering, or a closely related field OR
• Bachelor's degree and 2 years of relevant experience

PREFERRED QUALIFICATIONS

• Hands-on experience with DevOps practices, including the use of tools like Jenkins, Kubernetes, or Terraform, to enhance software delivery and infrastructure management.

• Proven ability to work effectively in interdisciplinary teams, demonstrating strong problem-solving skills and a collaborative approach to agile development projects.

• Expertise in data visualization and large-scale data analytics frameworks, with the ability to integrate and interpret geospatial data for innovative solutions.

• Demonstrable skills in full-stack web development, including front-end (e.g., React, Vue, Angular), back-end (e.g., Node.js, Python frameworks), and database management (e.g., PostgreSQL, MySQL, NoSQL).

• Proficiency in server management (Linux/Ubuntu), containerization (Docker), and cloud services (AWS or similar) with the ability to set up, configure, and maintain production environments.

• Experience designing and managing continuous integration and deployment pipelines, automated testing, and version control systems (Git).

• Strong understanding of API design, RESTful services, and microservices architecture.

• Familiarity with modern DevOps tools and methodologies.

• Knowledge of geospatial tools, data visualization libraries, or large-scale data analytics frameworks.

• Experience collaborating with interdisciplinary teams and in agile development.

• Excellent written and verbal communication skills, with a track record (or strong interest) in publishing or contributing to peer-reviewed research.

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