Biostatistician 2

The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.

 

Department of Anesthesiology, Perioperative and Pain 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. 

 

At Stanford University School of Medicine, the work we do touches the lives of those today and tomorrow. Through education, research, and health care, the School of Medicine improves health through leadership, diversity, collaborative discoveries, and innovation in health care. Whether working in departments with faculty, or in units that support the school, our staff are a part of teams that propel us on our journey toward the future of medicine and Precision Health.

 

Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial stability and promote healthy, fulfilling lives. An award-winning employer, Stanford offers an exceptional setting for professionals looking to advance their careers.

 

The School of Medicine and the Department of Anesthesia are committed to diversity, equity, and inclusion for its faculty, staff, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department.

 

 For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html

Responsibilities

Core Duties:

• Design study.

• Develop and implement protocol for quality control.

• Create analytic files with detailed documentation.

• Select appropriate statistical tools for addressing a givenresearch question.

• Implement data analysis through statistical programming.

• Present results for investigators using graphs andtables.

• Summarize findings orally and in written form.

• Participate in the preparation of papers forpublication.

• Consult with investigators on appropriate statistical approachesto data analyses; assist in study design and proposaldevelopment.

• Mentor collaborators in areas of experimental design, qualitycontrol, and statistical analysis

• Develop oral and written dissemination of findings for conferencepresentations and peer-reviewed journal articles.

• Oversee lower-level staff on issues related to quality controland creation of analysis files.

Minimum Education andExperience

Master’s degree in biostatistics, statistics or related field andthree 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 graphicinterfaces.

• Outstanding ability to communicate technical information to bothtechnical and non-technical audiences.

• Demonstrated excellence in at least one area of expertise, whichmay include coordinating studies; statistical methodology such asmissing data, survival analysis, statistical genetics, or informatics;statistical computing; database design (e.g., expertise in RedCAP orMySQL); graphical techniques (e.g., expertise in Illustrator)