Job description
StatQuest Analytics is seeking a Senior Statistician to lead analyses in clinical trials and health research. This full-time role is based in Boston, MA with hybrid work options.
In this role, you will partner with biostatisticians, data managers, and scientists to design robust analyses, pre-specify statistical methods, and ensure regulatory readiness for submissions. You will translate complex statistical results into actionable insights for cross-functional teams.
We offer a competitive compensation package, comprehensive benefits, and a culture that values curiosity, rigor, and collaboration.
Responsibility
- Lead the development of statistical analysis plans for Phase I to III clinical trials, including sample size calculations and power analyses.
- Execute and oversee advanced statistical analyses using R, SAS, or Python, ensuring reproducible and auditable results.
- Collaborate with statisticians and clinical teams to interpret results and communicate findings to non-statistical audiences.
- Pre-specify primary and secondary endpoints, adapt analysis strategies for missing data, and manage data quality checks.
- Contribute to trial design strategy, randomization schemes, and Bayesian or frequentist approaches as appropriate.
- Prepare statistical reports, figures, and tables for regulatory submissions and publications.
- Mentor junior statisticians, provide technical guidance, and review code and outputs for quality control.
- Stay current with statistical methodologies and industry regulations to maintain best practices.
Qualification
- Master's or PhD in Statistics, Biostatistics, Mathematics, or a closely related field.
- At least 5 years of hands-on experience in clinical trial statistics or biostatistics.
- Proficiency in R and SAS; Python experience is a plus. Strong data visualization skills.
- Experience with mixed effects models, survival analysis, GLMs, and interim analyses.
- Strong understanding of regulatory guidelines (ICH GCP, CDISC) and trial reporting standards.
- Excellent written and verbal communication abilities; ability to explain complex statistics to diverse audiences.
- Ability to work independently and in multidisciplinary teams; project management skills.