Graduate Assistant

Position Details Position Information New Jersey's academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University-New Brunswick and collaborating universitywide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers. Our clinical and academic facilities are located throughout the state-at Rutgers University-New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark's University Hospital in Newark, and other affiliates. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives. Posting Summary Rutgers School of Health Professions (SHP) is seeking a Graduate Assistant to work in the Dean's Office. The purpose of this Graduate Assistant position is to work with the AI in Education project members of the SHP Scholarship of Teaching and Learning (SoTL) Laboratory to design, build, and maintain a next-generation learning platform that leverages large language models, AI agents, and cloud technologies to support healthcare education and research. The position combines software engineering, AI integration, and technical research, working collaboratively with interdisciplinary teams to create scalable, secure, and innovative simulation experiences that enhance learning, assessment, and clinical training. Essential duties and responsibilities include the following: Design, develop, and maintain full-stack Al -powered web applications and platform components supporting the Rutgers Virtual Health Simulator (VHS), including front end interfaces, backend services, APIs, databases, and cloud infrastructure. Research, prototype, integrate, and optimize Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG) pipelines, and related Al technologies to support clinical educational simulations, intelligent tutoring, clinical research analytics, and personalized learning experiences. Develop scalable backend services, data pipelines, and secure application architectures for storing, processing, and managing simulation data, user interactions, analytics, and educational content while ensuring system reliability, security, and compliance with institutional policies. Collaborate with faculty, clinicians, instructional designers, and interdisciplinary research teams to translate educational and research objectives into technical requirements, software solutions, and platform enhancements. Evaluate emerging Al technologies, conduct technical research, develop proof-of-concept implementations, and prepare technical documentation, architecture diagrams, and software documentation to support ongoing platform development and future research initiatives. Participate in software testing, debugging, deployment, performance optimization, system maintenance, and continuous improvement activities using modem software engineering, DevOps, and cloud development practices. Provide support in research studies including data collection, analysis, documentation, and technical assistance for ongoing projects. Salary and Benefits Minimum Salary 15.92 Mid Range Salary 75.00 Maximum Salary 150.00 The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Position Status and Work Arrangement Part Time Working Hours 20 Standard Hours 1.00 Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the View email address on click.appcast.io Application System. Qualifications Minimum Education and Experience Current enrollment in a Master of Science in Computer Science or a closely related field at Rutgers University. A Bachelor's degree in Computer Science, Computer Engineering, or an equivalent discipline is required. Coursework or demonstrated proficiency in software engineering, machine learning, and applied artificial intelligence. Two or more years of professional experience building production-grade, full-stack and/or cloud-native applications, including backend services, APIs, and databases. Hands-on experience integrating Large Language Models, RAG pipelines, embeddings/semantic search, and AI agents into working systems. Experience with cloud infrastructure, containerization, and DevOps practices, including CI/CD and Infrastructure as Code. Experience designing scalable data pipelines and ETL workflows for storing and processing application data. Required Knowledge, Skills, and Abilities Ability to collaborate within Agile, cross-functional teams and to communicate technical concepts to nontechnical stakeholders. Demonstrated proficiency in Python and modern web/backend frameworks (e.g., FastAPI, Django). Preferred Qualifications Relevant cloud certification (e.g., AWS Certified Solutions Architect) and evidence of independent technical problem-solving preferred. Physical Demands and Work Environment PHYSICAL DEMANDS: None WORK ENVIRONMENT: Hybrid Posting Details Posting Number 26ST1645 Regional Campus Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus Newark (RBHS) City Newark State NJ Pre-employment Screenings All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: #J-18808-Ljbffr