Biostatistician II: Study Design & Analysis Leader

Abundance Network; United States; In loco; USD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

Stanford University seeks a Biostatistician 2 to collaborate with investigators, refine research questions, define hypotheses, design studies and devise analysis plans. You will work with senior statisticians to implement the analyses and publish findings, and present results to clinical investigators.

Core duties include designing studies, developing quality-control protocols, creating analytic files with documentation, selecting statistical tools, performing analyses, and mentoring

Competenze

• Master’s degree in biostatistics or related field.
• At least three years of experience in biostatistics.
• Proficiency in at least two of R, SAS, SPSS, STATA.
• Ability to communicate technical information to diverse audiences.
• Experience with study design and dissemination of findings.

Mansioni

• Design study.
• Develop and implement quality-control protocols.
• Create analytic files with documentation.
• Select appropriate statistical tools for research questions.
• Implement data analysis through statistical programming.
• Present results using graphs and tables.
• Summarize findings for publication.
• Consult with investigators on statistical approaches.
• Mentor collaborators in experimental design and statistics.
• Disseminate findings for conferences and journals.
• Oversee lower-level staff on analysis file creation.

Conoscenze

R/SAS/SPSS/STATA

Descriptive analysis

Data modeling

Data visualization

Technical communication

Statistical software

Formazione

Master’s degree in biostatistics

Strumenti

RedCAP

MySQL

Descrizione del lavoro

Stanford University seeks a Biostatistician 2 to collaborate with investigators, refine research questions, define hypotheses, design studies and devise analysis plans. You will work with senior statisticians to implement the analyses and publish findings, and present results to clinical investigators.

Core duties include designing studies, developing quality-control protocols, creating analytic files with documentation, selecting statistical tools, performing analyses, and mentoring