Senior Biostatistician: Lead Analytics & Research Mentorship

Stanford University School of Medicine; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

The Quantitative Sciences Unit (QSU) at Stanford University School of Medicine seeks a senior biostatistician to oversee statistical analyses within collaborative research teams. You will mentor investigators, apply advanced methods, and guide study design across projects.

Qualifications include a Master’s or PhD in biostatistics or related field, 5+ years of experience, and proficiency in R and at least one of SAS, SPSS, or STATA. Strong communication and methodological expertise are essential.

Qualifications

• Master’s degree in biostatistics, statistics or related field.
• Five years of experience or Ph.D. in biostatistics, statistics or related field.
• Proficient in at least two of R, SAS, SPSS, or STATA.
• Outstanding ability to communicate technical information to diverse audiences.

Responsibilities

• Oversee lower-level staff on quality control.
• Oversee lower-level staff on creation of analytic files.
• Identify appropriate statistical tools for analysis.
• Implement data analysis through statistical programming.
• Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design.
• Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
• Mentor clinical investigators on relevant research methods.
• Implement studies to address statistical issue arising from collaborations.

Skills

R

SAS

SPSS

STATA

Education

Master’s degree in biostatistics

PhD in biostatistics

Tools

RedCAP

MySQL

Job description

The Quantitative Sciences Unit (QSU) at Stanford University School of Medicine seeks a senior biostatistician to oversee statistical analyses within collaborative research teams. You will mentor investigators, apply advanced methods, and guide study design across projects.

Qualifications include a Master’s or PhD in biostatistics or related field, 5+ years of experience, and proficiency in R and at least one of SAS, SPSS, or STATA. Strong communication and methodological expertise are essential.