Biostatistician

Excelra; United States; On-site; USD 80,000 - 120,000; Full time

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

Responsibilities

• Aid in the planning and writing of biomarker statistical analysis plans in the lead-up to clinical trials.
• Run and develop statistical models—such as random effects, mixed effects, and MMRM models on biomarker data once clinical trials conclude.
• Support discovery research by reviewing literature and conducting power analyses to determine the efficacy of exploratory biomarkers.
• Work flexibly within a US time zone to collaborate with local stakeholders and act as a bridge for the current team members based in India.

Required Qualifications

• A highly formalized and solid background in statistical analysis.
• Strong capability to understand experimental design in scientific literature, formulate null and alternate hypotheses, and identify the appropriate statistical models or tests.
• Deep comprehension of how statistical models function and the core assumptions required to run and check them in the biomarker discovery space.
• Proficiency in programming with Python or R (Note: SAS coding is not required for this role).
• Must be located in a US time zone (such as the East Coast or Midwest) to enable real-time collaboration with US-based team members.

Preferred Skills

• Good to have - Familiarity with CDISC standards, specifically experience working with ADaM or SDTM datasets
• Good to have - Experience or subject-matter knowledge in neuroscience and eye care (Scott's team), the broader team also supports oncology and immunology.
• Must have - Prior experience with biomarker discovery projects