Biostatistician 2

About the role

The Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University's School of Medicine is seeking a highly motivated, hardworking, and professional biostatistician. The primary role of this position is to provide statistical support for a perinatal pharmacoepidemiology research group. Our research team is focused on conducting impactful research studies using large databases to improve the understanding of the use and effects of medications during and after pregnancy. The biostatistician will work closely with the research team to create and manage relevant datasets, implement analysis plans, provide analytical output, and contribute to the reporting and publication of findings. The successful candidate will work on a variety of collaborative projects.

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.
• Participate in the preparation of papers for publication.
• Consult with investigators on appropriate statistical approaches to data analyses; assist in study design and proposal development.
• 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.

Minimum Education and Experience

Master's degree in biostatistics, statistics or related field and three years of experience.

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).