AI/ML Research Specialist: Surgical Data Analytics

MUSC Health; Charleston (SC); On-site; USD 52,000 - 89,000; Full time

Job summary

The Medical University of South Carolina (MUSC) is seeking a Research Specialist III to support AI and ML research in the Institute of Surgical Sciences, Department of Surgery. You will independently organize research activities, review literature, and analyze complex healthcare datasets from EHRs, imaging, and other sources, collaborating with faculty, trainees, clinicians, and data scientists.

Responsibilities include statistical analyses, modeling, data visualization, manuscript preparation,

Qualifications

• Bachelor's degree in a quantitative field and two years of research experience.
• Experience applying AI/ML methods to healthcare or biomedical data.
• Proficiency in Python, R, SQL, or similar tools.
• Experience with electronic health record data and data visualization.

Responsibilities

• Plan and conduct complex analyses of healthcare data from EHRs, imaging, and registries.
• Perform statistical analyses, predictive modeling, and ML techniques; develop visuals and reports.
• Collaborate with multidisciplinary teams to advance translational and clinical research.
• Provide scientific and technical consultation on study design and data methods.
• Mentor researchers and assist in preparing manuscripts and grant sections.

Skills

Python

R

SQL

Data visualization

Predictive modeling

Machine learning

Clinical informatics

Research analytics

Scientific writing

Education

Bachelor's degree in computer science / data science / biomedical informatics / biostatistics / engineering

Master's degree preferred

Tools

Epic

SQL databases

Statistical software

Job description

The Medical University of South Carolina (MUSC) is seeking a Research Specialist III to support AI and ML research in the Institute of Surgical Sciences, Department of Surgery. You will independently organize research activities, review literature, and analyze complex healthcare datasets from EHRs, imaging, and other sources, collaborating with faculty, trainees, clinicians, and data scientists.

Responsibilities include statistical analyses, modeling, data visualization, manuscript preparation,