Research Assistant Professor, Non-Tenure Track, Software Development & System Integration – McWilliams School of Biomedical Informatics
University of Texas Health Science Center
McWilliams School of Biomedical Informatics (MSBMI) at UTHealth Houston is recruiting for a full-time Research Assistant Professor specializing in software development, front-end capabilities, and system integration within the context of translational AI research.
The successful candidate will play a crucial role in converting advanced AI theories into applicable real-world solutions, ensuring they are user-centric and accessible.
· Develop and refine software prototypes based on emerging AI theories, ensuring a seamless and intuitive user interface.
· Design, implement, and test front-end components to ensure optimal user experience and engagement.
· Seamlessly integrate AI-driven models into existing systems, focusing on both backend functionality and frontend accessibility.
· Adopt responsive web design principles, ensuring AI tools are accessible across multiple devices and platforms.
· Collaborate with UX/UI designers to ensure the developed tools are user-friendly, adhering to the latest design trends and standards.
· Continuously monitor and enhance system performance through feedback, real-world testing, and user experience metrics.
· Engage with cross-functional teams to understand domain-specific needs and adapt AI tools accordingly.
· Stay updated with the latest advancements in AI, front-end technologies, and design principles.
· Contribute to research discussions, sharing insights on practical challenges and recommending software-driven solutions.
· Document and present findings, contributing to both academic and industry-focused publications.
· Ph.D. or equivalent in Computer Science, Artificial Intelligence, or a related field.
· Strong background in software development with a focus on AI-driven solutions.
· Demonstrable experience in system integration, optimization, and front-end development.
· Familiarity with the translational aspects of research, ensuring theoretical advancements have practical applications.
· Excellent collaboration and communication skills, both written and verbal.
· Experience in applying AI tools in sectors such as healthcare, finance, or other related industries.
· Proven UX/UI design understanding or collaboration experience.
· A track record of publishing research in reputable journals and conferences.
Competitive and dependent upon qualifications and experience.
As part of the application process, the candidate should provide a current curriculum vitae, a research statement, contact information for three references, and a cover letter describing qualifications and career goals.
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