We are seeking a highly motivated and experienced biostatistician to join our team at the Quantitative Sciences Unit (QSU) at Stanford University. The successful candidate will work closely with our team of academic statisticians to design and implement statistical studies, develop novel methods, and collaborate with clinical and lab-based investigators on campus.

• Take the statistical lead on studies, including designing the study, developing the analysis plan, and carrying out statistical programming and data management.
• Oversee junior-level biostatisticians on data cleaning and creation of analytic files and mentor junior-level biostatisticians in conducting collaborative research.
• Lead statistical projects related to collaborations on topics including the evaluation of statistical software or methods as well as the development of novel methods.
• Collaborate with clinical and lab-based investigators on campus to design studies and develop analysis plans.
• Develop oral and written dissemination of findings for meetings with collaborators or for medical and/or statistical journal articles.

• Ph.D. in Biostatistics, Statistics, or related field.
• At least five years of experience collaborating as a biostatistician.
• Experience with multiple statistical programming languages such as SAS and R.
• Outstanding oral and written communication skills with the ability to communicate technical information to all audiences.
• Demonstrated expertise in statistical methodology.

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.

Stanford University is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.