Biostatistics Research Instructor for Oncology Trials

Medical University Hospital Authority (MUHA); South Carolina; On-site; USD 75,000 - 110,000; Full time

Job summary

The Medical University of South Carolina (MUSC) invites applications for the Research Instructor of Biostatistics, affiliated with the Data Science Shared Resource within the Hollings Cancer Center. A MS or MPH in statistics/biostatistics with at least two years of relevant experience is required.

The position emphasizes collaboration with Hollings researchers on early-phase oncology trials, non-therapeutic behavioral or hybrid trials, protocol development, REDCap-based data systems, and

Qualifications

• MS or MPH in statistics, biostatistics, or related field is required.
• At least two years of relevant experience at the time of appointment.
• Affiliation with Data Science Shared Resource within Hollings Cancer Center is expected.
• Experience with oncology trials or trial design is preferred.
• Familiarity with REDCap and NIH Common Data Elements; knowledge of ICH E6 and ICH E9 guidelines.

Responsibilities

• Collaborate with Hollings Cancer Center clinical researchers on trial design and analysis.
• Lead design and conduct of early phase oncology trials and related studies.
• Develop statistical methodologies to advance cancer research.
• Assist in joint grant proposals and data sharing within the center.
• Ensure rigorous data analysis, data management, and reporting.

Skills

Data analysis

Protocol development

Statistical methods

Collaboration

Education

MS in Biostatistics

MPH in Biostatistics/Statistics

Tools

REDCap

NIH CD Elements

ICH Guidelines

Job description

The Medical University of South Carolina (MUSC) invites applications for the Research Instructor of Biostatistics, affiliated with the Data Science Shared Resource within the Hollings Cancer Center. A MS or MPH in statistics/biostatistics with at least two years of relevant experience is required.

The position emphasizes collaboration with Hollings researchers on early-phase oncology trials, non-therapeutic behavioral or hybrid trials, protocol development, REDCap-based data systems, and