George Mason University, established in 1972 in Fairfax, Virginia, offers more than 185 undergraduate, master, doctoral, and professional degrees in 10 differen
Instructor
Location
Virginia
Posted
65 days ago
Salary
0
Seniority
Senior
Job Description
Instructor
George Mason University
Title: Instructor Location: Prince William County United States Job Description: - 10003923 - Instructional Faculty Department: College of Science Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Prince William County, VA Workplace Type: Hybrid Eligible Sponsorship Eligibility: Eligible for visa sponsorship Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the Department: Biomedical Sciences (BMED) in the College of Science offers a graduate certificate program that helps students prepare for, gain admission to, and succeed in health professional schools including medicine, dentistry, PA, and other tracks. Statement on Building an Inclusive Culture George Mason University College of Science (Mason Science) is committed to advancing all-inclusive excellence and fostering an environment free from discrimination, harassment, and retaliation throughout our STEM community. At Mason Science, our values include cultivating an organizational culture that promotes belonging, respect, and civility. We believe that varied opinions, cultures, and perspectives are what provides vibrancy, innovation and growth to an academic community. By prioritizing cultural responsiveness in academics, teaching, research, and global engagement, we strive to attract faculty and staff who exemplify the Mason Science mission and vision. About the Position: The Instructor position supports instructional faculty in delivering classes and assisting students in improving study skills and learning graduate biomedical concepts needed for success in the health professions. Additionally, the position assists the program in advising and logistic activities needed for program operations. Responsibilities: Instruction/Student Support - Offers in-person and online follow up and review sessions for students; - Develops and delivers online instructional sessions for in person and fully online students in the program; - Holds office hours for individual and small group help sessions for students; - Advises students on progress in the program, appropriate study methods, applying to health professional school, career goals, and related matters; - Assists with student-oriented event planning and management; - Provides logistic and other support for invited speakers, recruiters, and other visitors; - Serves as Supplemental Faculty for BMED-George Squared; and - May carry a teaching load. Instructional Support - Provides classroom and online technical, administrative, and teaching support for instructors; - Prepares various course materials for Instructors as requested; and - Helps prepare, edit, administer, and grade examinations and assignments. Program Administration Support - Provides logistic support for room reservations, IT equipment and management, and communications to students; - Student academic record management and tracking; - Participates in recruiting events both locally and nationally; and - Performs other program related activities as assigned by the Director. Required Qualifications: - Master’s degree in related field; - At least one year in a graduate biomedical education program; - Several years of experience in a clinical setting; - Demonstrated leadership and teamwork activity, and successful performance on standardized tests; - Must have demonstrated knowledge of advanced biomedical science, the skills to assist students who have encountered academic difficulty as undergraduates, and the ability to help these students improve their understanding of biomedicine and their study skills overall; and - An awareness of specific reasons for student academic struggles and an appreciation of a diversity of backgrounds, learning styles, and approaches to improved academics are other attributes required in this position. Preferred Qualifications: - Relevant academic performance in a graduate biomedical educational environment; - Experience teaching and/or tutoring at the high school level or above; - Experience working in healthcare or other team settings; and - Familiarity with the practice of medicine or dentistry, and perspectives on different learning modalities such as online education, hybrid formats, and flipped curricula. Instructions to Applicants: For full consideration, applicants must apply for Instructor at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a Cover Letter/Letter of Intent with CV for review. Open Until Filled: Yes Mason Ad Statement Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason’s diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create. If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/! George Mason University, Where Innovation is Tradition. Equity Statement George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law. Campus Safety Information Mason’s Annual Security and Fire Safety Report is available
Related Guides
Related Job Pages
More AI Engineer Jobs
AI Engineer – R&D to Production, Multi-Modal: Video, Text, Audio
FlatgigsScaling Investor-Backed Startups & Growth Companies
• Solve complex AI problems across Video understanding and processing, Text-based AI / NLP systems, Audio processing (nice to have, not mandatory) • Design, experiment, and iterate on AI models and approaches • Work on problems that may not have clear starting points or predefined solutions • Explore multiple approaches before arriving at optimal solutions • Contribute to research-driven experimentation and innovation
Role Description Seeking a Senior Python AI Engineer to design, build, and deliver production-grade GenAI and agentic AI solutions. The role involves end-to-end ownership of AI projects, working with global clients, and leading technical teams. Key Responsibilities - Build Python-based AI systems, APIs, and microservices - Develop LLM pipelines, prompts, and multi-agent workflows - Ensure production scalability, security, and reliability - Lead teams and manage client requirements to deployment Qualifications - Strong Python (FastAPI, Flask, SQLAlchemy) - Experience with LLMs (OpenAI, Claude, Gemini) - Agentic frameworks (LangChain, LangGraph, LlamaIndex) - Cloud (AWS/Azure/GCP), APIs, micro-services, CI/CD, MLOps Requirements - Team handling and client-facing experience with enterprise/global stakeholders
Senior AI Engineer
MRO CorporationMRO’s employees work at client facilities throughout the United States. We are proud of the culture we create for our employees and offer an outstanding work environment. We strive to match the right applicant to the right position. To learn more about us, visit www.mrocorp.com . MRO is an Equal Opportunity Employer.
Role Description This role focuses on deploying AI-powered solutions to extract structured data from unstructured medical charts. The AI Engineer will work with technical and clinical teams to bring AI models into real-world use, improving efficiency in healthcare data processing while ensuring accuracy, usability, and responsible AI practices. - Develop, test, and deploy LLM-powered extraction pipelines for clinical text at scale. - Automate prompt execution, result validation, and error handling to enhance reliability. - Monitor and maintain production AI models, ensuring uptime, accuracy, and compliance. - Work with product, data, engineering, and clinical teams to integrate AI outputs into real-world solutions. - Evaluate and integrate third-party AI solutions when appropriate. - Stay current with advancements in LLM deployment, model serving, and responsible AI practices. As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us! Qualifications - 5+ years of experience in AI deployment or applied Machine Learning. - Strong software engineering foundation with proficiency in Python. - Familiarity with cloud platforms, data engineering, and pipeline automation. - Bachelor’s degree in Computer Science, AI, a related field, or equivalent work experience. - Strong cross-functional collaboration skills. - Proven track record of thriving in a start-up environment. Requirements - Experience deploying LLMs in production environments. - Advanced degree in Computer Science or related field. - Experience integrating AI with healthcare data (EHRs, clinical databases). - Experience working in regulated industries with an understanding of security, compliance, and responsible AI.
Role Description We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows. This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient. You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows. Key Responsibilities - AI-Driven Business Transformation - Redesign healthcare processes using AI-first principles - Identify opportunities to replace or augment manual workflows with AI agents - Translate business problems into working AI solutions - Agentic AI Design & Deployment - Design, build, and deploy AI agents for enterprise workflows - Implement multi-agent systems using LLMs (prompting, memory, tool usage) - Rapidly prototype and productionize solutions using platforms such as OpenAI, Anthropic, Google (Gemini) - Forward Deployed Execution - Work directly with client teams (business + IT) to: - Whiteboard solutions - Build prototypes in days/weeks - Deploy and iterate rapidly - Operate as a trusted advisor and builder - AI-Augmented SDLC - Leverage AI across the software lifecycle: - Code generation and refactoring - Automated testing and validation - Documentation and observability - Drive productivity improvements across engineering teams - Enablement & Adoption - Train business and operations teams to: - Use AI tools and agents effectively - Build and iterate workflows independently - Develop reusable playbooks and frameworks Domain Focus (Healthcare Payer Workflows) - Claims Processing & Adjudication - Prior Authorization - Member & Provider Contact Center - Provider Data Management - Care Management & Utilization Review - Revenue Cycle & Payment Integrity Qualifications - Technical - Strong software engineering background (Python, APIs, microservices) - Experience with LLMs, prompt engineering, and AI frameworks - Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) - AI & Data - Experience building AI/ML or LLM-powered applications - Understanding of structured and unstructured data pipelines - Knowledge of model evaluation, monitoring, and governance - Cloud - Experience with AWS - Experience with Azure - Consulting Mindset - Strong communication and stakeholder management - Ability to work directly with business teams - Experience in rapid prototyping and iterative delivery Requirements - 6–12+ years in software engineering, AI, or related roles - Prior client-facing / consulting experience preferred What Makes This Role Unique - Work at the forefront of AI-driven enterprise transformation - Build real-world AI agents replacing traditional workflows - Direct business impact through a forward-deployed model - Opportunity to scale from pilot solutions to enterprise-wide programs Success Metrics - Number of workflows transformed using AI - Reduction in manual effort and cost-to-serve - Adoption of AI tools by business teams - Speed from prototype to production
