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Stanford University is seeking a biostatistics-focused analyst for a 1-year fixed-term, hybrid role within the QSU. You will design studies, develop QC protocols, and create well-documented analytic files to support investigations across teams.
You will apply multiple statistical methods and programming to analyze complex data, present results with clear visuals, and contribute to publications and proposals.
The mission of the QSU 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.
This is a 1-year fixed-term, hybrid opportunity.
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.
Master’s degree in biostatistics, statistics or related field and three years of experience.
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)