UNIV - Post-Doctoral - Department of BMIC/PHS
Listed on 2026-01-30
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Research/Development
Research Scientist, Data Scientist, Medical Science, Clinical Research
Job Description Summary
Job Description Summary 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.
Medical University of South Carolina (MUSC - Univ)
Worker TypeEmployee
Worker Sub-TypeRegular
Cost CenterCC000955 COM Biomedical Informatics Center CC
Pay Rate TypeSalary
Pay GradeUniversity-00
Pay Range0.00 - 0.00 - 0.000
Scheduled Weekly Hours40
Work ShiftJob Description
Job Description: 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.
1. 30% 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.
2. 25% Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data.
3. 20% Contribute to scientific publications and conferences. Prepare written reports and collaborate in scientific publications authoring and research findings presentation at scientific conferences.
4. 10% 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.
5. 10% May supervise and be responsible for training staff, graduate assistants, or student employees.
6. 5% 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.
Skills and Abilities
· 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.
Skills and Abilities
· 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.
· Experience with healthcare data standards.
· Project and team management experience.
Job Description
Physical Requirements:
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