Exact schedule to be determined with supervisor; no more than 20 hours per week when school is in session and no more than 35 hours per week during breaks. About the Institution Ranked in the top 9% of private US colleges that provide the best return on tuition investment, Pace University transforms the lives of its diverse students-academically, professionally, and socioeconomically. Currently, the University enrolls more than 13,000 students in more than 150 bachelor's, master's, and doctoral programs. Pace University is at the forefront of creating opportunity. Through the convergence of strong academics, experiential learning, and dedicated advising, Pace University empowers its students and positively impacts its communities. AA/EEO Statement Pace University is committed to achieving full equal opportunity in all aspects of University life. Pursuant to this commitment, the University does not discriminate on the basis of actual or perceived sex, gender or gender identity; race; color; national origin; religion; creed; age; disability; citizenship; marital or domestic partnership status; sexual orientation or affectional status; genetic predisposition or carrier status; military or veteran status; status as a victim of domestic violence, sex offenses or stalking; or any other characteristic protected by law federal, state or local law, rule or regulation. Annual Security Report Notice Pace is committed to ensuring the safety and security of the students, faculty, staff and visitors to the University. In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University's Safety and Security department publishes an Annual Security and Fire Safety Report, which can be accessed here. The report contains information on security policies as well as crime and fire statistics for the University. The AMIIE Lab at the Seidenberg School is hiring a student as a research assistant to work with a faculty on an AI-powered healthcare research project focusing on knee osteoarthritis (OA). This project involves developing a web application that utilizes deep learning medical imaging models to analyze knee joint space using radiographic images (X-rays). The research will contribute to AI-driven diagnostics and clinical validation of imaging biomarkers for knee OA, with an emphasis on accessibility and fairness in healthcare technology. Responsibilities * Participate in the development and validation of an AI-powered web application on AWS or Microsoft Azure for knee joint space analysis using only plain radiographs (X-rays). * Assist in scientific visualization of longitudinal knee OA assessments using large-scale retrospective datasets from the Osteoarthritis Initiative (OAI). * Engage in reading, analyzing, and summarizing academic papers related to AI and AI as a service in the Cloud. * Provide weekly progress reports and updates to faculty members and collaborate with the research team. * Contribute to technical documentation, research writing, and reporting of project outcomes. * Strong interest in research and ability to work both independently and collaboratively in a team setting. * Experience in the design and development of web applications, preferably on AWS and/or Microsoft Azure. * Familiarity with web application, web services, medical imaging, AI in healthcare, or related fields is a plus. * Python, and front-end development. * Technical writing skills for research documentation and publications. * Candidates must submit a resume and cover letter detailing their relevant skills and experience. * Graduate/Undergraduate Student * 10 hours per week