Clinical Research Data Analyst II

MUSC Health; Charleston (SC); On-site; USD 39,000 - 67,000; Full time

Job summary

The Statistical and Research Analyst II at MUSC Health in Charleston will manage data in endocrine surgery clinical databases, assist with drafting and submission of research protocols, and support data analysis for clinical studies and manuscripts.

The role requires independence, meticulous data handling, and collaboration with research teams; a biostatistics/public health background is preferred, with proficiency in statistical software.

Qualifications

• Data entry into clinical databases.
• Assistance with clinical studies and testing of systems.
• Draft/submit/maintain clinical research protocols (PRC/IRB).
• Update IRB protocols and research databases.
• Assist with data analysis for clinical projects.
• Assist with drafting/writing/submission of abstracts/manuscripts/grants.

Responsibilities

• Collect/enter data into Endocrine Surgery clinical databases.
• Assist with clinical studies, sporadic and limited, including testing of new intraoperative systems.
• Draft/submit/maintain clinical research protocols to MUSC PRC and MUSC IRB; progress reports and renewals.
• Update and maintain IRB protocols and research databases.
• Assist with data analysis for clinical research projects.
• Assist with drafting/writing/submission of abstracts/manuscripts/grants for clinical research projects.
• Other duties as assigned.

Skills

Data entry

Data analysis

Clinical research

Education

Bachelor’s degree in biostatistics/epidemiology/public health/clinical research

Master’s degree preferred

Tools

SATA

SPSS

SAS

Job description

The Statistical and Research Analyst II at MUSC Health in Charleston will manage data in endocrine surgery clinical databases, assist with drafting and submission of research protocols, and support data analysis for clinical studies and manuscripts.

The role requires independence, meticulous data handling, and collaboration with research teams; a biostatistics/public health background is preferred, with proficiency in statistical software.