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The post-doc will be working with the Biomedical Informatics research team on AI applications in the field of biomedicine including large language models, explainability, ethics, trust, and other research areas. The position is based at MUSC in the Division of Biomedical Informatics in the Department of Public Health Sciences. The post-doc will contribute to shaping scientific objectives, research projects planning, execution, and analysis related to AI projects in biomedicine. This includes collaboration with faculty members at MUSC and across the state. The post-doc will participate in the design and execution of research projects, and the preparation of scientific presentations and manuscripts.
Job Responsibility:
Conduct and assist with research on topics relevant to artificial intelligence (AI), ethics in AI, explainable AI (XAI), and AI Acceptance, including but not limited to data acquisition, IRB approval, AI model development, and coordinating focus groups with clinicians and other stakeholders on AI acceptability
Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data
Contribute to scientific publications and conferences. Prepare written reports and collaborate in scientific publications authoring and research findings presentation at scientific conferences
Consultation with co-investigators on appropriate design and development. Assists faculty researchers and other collaborators, or may act independently, in planning and designing research experiments, establishing priorities and recommending schedules, timetables and costs
May supervise and be responsible for training staff, graduate assistants, or student employees
Contribute to shaping scientific objectives, research projects planning, execution, and analysis. Collaborating with the Biomedical Informatics and other faculty members at MUSC or other academic institutions. The successful candidate will participate in the preparation (e.g., research grant application development) and execution of research projects
Requirements:
A doctoral degree in computer science, data science, biomedical informatics, medicine, or other related areas
Solid data science skills, e.g., R or python, machine learning or deep learning, and ability to write, debug and revise computer code
Willingness to coordinate and supervise part of the research activity within BMIC
Ability to work in a collaborative environment, with a strong commitment to achieving research goals
Excellent oral and written communication skills. Ability to communicate in a clear and concise manner
Nice to have:
Good publication record related to biomedical data science, AI, biomedical informatics, and/or related ethics
Experience with natural language processing
Experience with clinical text and electronic health records