UNIV - Post-Doctoral - Department of BMIC​/PHS

Job Description Summary

The post‑doc will be working with the Biomedical Informatics research team on AI applications in 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, planning, execution, and analysis of AI projects in biomedicine, collaborate with faculty members at MUSC and across the state, design and execute research projects, and prepare scientific presentations and manuscripts.

• 30%:
  Conduct and assist with research on topics relevant to AI, ethics in AI, XAI, and AI acceptance, including data acquisition, IRB approval, AI model development, and coordinating focus groups with clinicians and stakeholders on AI acceptability.
• 25%:
  Perform statistical analyses, selecting appropriate procedures, setting up data for analysis, judging validity and reliability.
• 20%:
  Contribute to scientific publications and conferences, prepare written reports, and collaborate in authoring publications and presenting research findings at conferences.
• 10%:
  Consult with co‑investigators on design and development, assist faculty researchers and collaborators in planning and designing experiments, establishing priorities, recommending schedules, timetables, and costs.
• 10%:
  Supervise and train staff, graduate assistants, or student employees.
• 5%:
  Contribute to shaping scientific objectives, planning, execution, and analysis, collaborating with BMIC and other faculty, participate in grant application development and execution of research projects.

• 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 the 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 research goals.
• Excellent oral and written communication skills and the ability to communicate clearly and concisely.

• 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.

Ability to perform job functions in an upright or seated position, while walking or mobile, climb stairs, work indoors, handle cold temperature extremes, bend and twist at the waist, use both hands and arms, perform repetitive motions, use both legs, reach in all directions, maintain finger dexterity, maintain tactile, olfactory, and visual functions, lift and carry up to 15 lbs, lower objects up to 15 lbs, push/pull objects up to 15 lbs, lift objects to a height of 72 inches, maintain 20/40 vision corrected, match colors, determine distance, maintain hearing acuity, perform gross motor functions with frequent fine motor movements, qualify to use a respirator, work alone in isolated areas, obtain and maintain a valid driver's license, computer literacy, work rotating shifts and overtime as required, and learn new processes, tools, and equipment as required.

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit, and business need.

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