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Research Associate - MLD - School of Computer Science at Carnegie Mellon University. Location Information: Remote Work Location, United States. . Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!. The Machine Learning Department (MLD) is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.. We are seeking a Research Assistant. This position will contribute to the development of AI agents for medical applications. This role involves modeling hospital workflows, working with medical datasets, and developing AI tools for healthcare settings. The position serves as a bridge between clinical domain knowledge and AI research, preparing for future doctoral studies in medical AI.. Core Responsibilities:. Model and document business processes and workflows in hospital settings. Integrate and analyze publicly available medical datasets with synthetic data generation. Assess and validate the quality of synthetic medical data against real-world benchmarks. Validate process models to ensure they accurately reflect hospital operations and variations. Assist in modeling and integrating diagnostic tools (such as X-ray analysis) into workflow models. Collaborate with interdisciplinary teams to ensure AI solutions meet clinical needs. Document research findings and contribute to technical reports. Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.. Qualifications:. Bachelor's Degree. Programming experience in Python. Familiarity with data analysis and machine learning concepts. Curiosity about healthcare applications of AI. Basic understanding of medical terminology helpful but not required. A combination of education and meaningful experience from which comparable knowledge is proven may be considered.. Requirements:. Successful background check investigation. Joining the CMU team opens the door to an array of exceptional benefits.. Benefits eligible. employees enjoy a wide array of benefits including . comprehensive medical, prescription, dental, and vision insurance. as well as a generous . retirement savings program. with employer contributions. Unlock your potential with . tuition benefits. , take well-deserved breaks with ample . paid time off. and observed . holidays. , and rest easy with life and accidental death and disability insurance. . Additional perks include a free Pittsburgh Regional Transit bus pass, access to our . Family Concierge Team. to help navigate childcare needs, . fitness center access. , and much more!. For a comprehensive overview of the benefits available, explore our . Benefits page. .. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.. Are you interested in an exciting opportunity with an exceptional organization?! Apply today!. Location. Remote. Job Function. Researchers. Position Type. Staff – Fixed Term (Fixed Term). Full Time/Part time. Part time. Pay Basis. Hourly. More Information: . Please visit “. Why Carnegie Mellon. ” to learn more about becoming part of an institution inspiring innovations that change the world. . Click . here. to view a listing of employee benefits. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. . Statement of Assurance. .