Seidenberg Research Assistant
: Job Details :

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 InstitutionRanked 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 StatementPace 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 NoticePace 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.This is a research assistant position that involves working with Dr Zhan Zhang in the School of Computer Science and Information Systems on a research project aimed at designing and developing an artificial intelligence powered clinical decision support tool for emergency care providers. This project is funded by the NSF and the National Institutes of Health. You will work within an interdisciplinary team comprising experts from both Pace University and other institutions, including the University of Colorado and Oklahoma State University, who have expertise in Human Computer Interaction, AI, Machine Learning and Emergency Medicine.In this role you will use an iterative, user centered approach focused on participatory design and usability testing to design and evaluate various prototypes of the application.* UG student in CS, IT, IS, Pyschology or a similar area* Highly experienced in User Research and Design* Highly experienced with Qualitative Data Analysis* Highly experienced with Prototyping Software -(i.e. Figma)* Highly experienced with Participatory Design and Usability Evaluation* Ability to learn as you work* Persistence in solving problems and resolving issues* Ability to document and report research findings* Effective communication skills* Empathy and social skills* Willing to travel to hospitals in both NYC and Colorado for data collection and research purposes (travel expenses will be covered).