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Job summary
A research organization seeks a skilled individual to aid in planning and executing biomarker statistical analyses leading into clinical trials. Responsibilities include developing statistical models and conducting power analyses to support exploratory biomarkers. The ideal candidate will have a strong statistical background with proficiency in Python or R, and must operate within a US time zone for effective collaboration. Familiarity with CDISC standards and previous experience in biomarker projects are preferred.
Qualifications
Highly formalized background in statistical analysis.
Strong capability to understand experimental design and formulate hypotheses.
Deep comprehension of statistical models and their assumptions.
Must be located in a US time zone for collaboration.
Responsibilities
Aid in planning and writing biomarker statistical analysis plans.
Run and develop statistical models on biomarker data post-trials.
Support discovery research via literature review and power analyses.
Collaborate flexibly within US time zone.
Skills
Statistical analysis
Experimental design understanding
Statistical modeling (Python, R)
Collaboration with stakeholders
Tools
Python
R
Job description
A research organization seeks a skilled individual to aid in planning and executing biomarker statistical analyses leading into clinical trials. Responsibilities include developing statistical models and conducting power analyses to support exploratory biomarkers. The ideal candidate will have a strong statistical background with proficiency in Python or R, and must operate within a US time zone for effective collaboration. Familiarity with CDISC standards and previous experience in biomarker projects are preferred.