Senior Biostatistician

Job Description

The mission of the Quantitative Sciences Unit is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatistics and informatics, to mentor and educate clinical investigators in research methods, and to mentor data scientists so that they can reach their full potential. The QSU achieves its mission through an interdisciplinary collaborative approach where QSU members become fully integrated into individual research teams.

Job Description

The mission of the Quantitative Sciences Unit is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatistics and informatics, to mentor and educate clinical investigators in research methods, and to mentor data scientists so that they can reach their full potential. The QSU achieves its mission through an interdisciplinary collaborative approach where QSU members become fully integrated into individual research teams.

Responsibilities

Core Duties

• 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.

Minimum Education

Master’s degree in biostatistics, statistics or related field

Minimum Experience

Five years of experience or Ph.D. in biostatistics, statistics or related field.

Knowledge, Skills And Abilities

• Proficient in at least two of R, SAS, SPSS, or STATA.
• Skills in descriptive analysis, modeling of data, and graphic interfaces.
• Outstanding ability to communicate technical information to both technical and non-technical audiences.
• Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).