Biostatistician II — Design, Analyze & Mentor Studies

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

Job summary

Stanford University School of Medicine's Quantitative Sciences Unit seeks a biostatistician to design studies, perform analyses, and mentor investigators. The role involves collaborating with Stanford researchers, applying advanced statistics, and communicating results clearly.

Requires a Master’s in biostatistics and at least three years of experience in statistical programming and methods such as missing data, survival analysis, or genetics; experience with RedCAP or MySQL is a plus.

Qualifications

• Master’s degree in biostatistics, statistics or related field.
• Three years of experience in biostatistics or related field.
• Experience with statistical programming in R/SAS/SPSS/STATA.

Responsibilities

• Design study.
• Develop and implement protocol for quality control.
• Create analytic files with detailed documentation.
• Select appropriate statistical tools for addressing a given research question.
• Implement data analysis through statistical programming.
• Present results for investigators using graphs and tables.
• Summarize findings orally and in written form.
• Mentor collaborators in areas of experimental design, quality control, and statistical analysis.
• Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
• Oversee lower-level staff on issues related to quality control and creation of analysis files.

Skills

R

SAS

SPSS

STATA

Data analysis

Data visualization

Communication

Education

Master’s degree in biostatistics or related field

Tools

RedCAP

MySQL

Job description

Stanford University School of Medicine's Quantitative Sciences Unit seeks a biostatistician to design studies, perform analyses, and mentor investigators. The role involves collaborating with Stanford researchers, applying advanced statistics, and communicating results clearly.

Requires a Master’s in biostatistics and at least three years of experience in statistical programming and methods such as missing data, survival analysis, or genetics; experience with RedCAP or MySQL is a plus.