The Stanford Pain Division in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University is seeking a full-time Biostatistician 2 to work with some independence, consult with investigators to refine research questions, define hypotheses, design studies and devise analysis plans. Work with senior statistician(s) to implement analysis plan and publish findings. Present results orally to clinical investigators. Provide guidance to clinical investigators on design and analysis issues. The Stanford Division of Pain Medicine merges the tripartite mission of clinical care, education, and research to advance the frontier of pain management for those dealing with acute or chronic pain problems. The focus of the Stanford Division of Pain Medicine is the treatment of the entire patient to enable them to live their fullest life, education of the next generation of pain physicians and healthcare leaders, and pursuing cutting-edge research. If you are interested in joining an internationally recognized Pain Medicine program, please apply and take part in our research programs. Duties include: Design study with an emphasis on clinical trials data. Collaborate with content experts to understand data and build appropriate statistical models to understand the data. Perform modeling building, statistical estimation, statistical inference, and modeling fitting diagnostics using off-the-shelf and custom-coded statistical programs in R or SAS. Develop and implement protocol for quality control. Oversee data cleaning and data management of multiple datasets. Create analytic files with detailed documentation. Select appropriate statistical tools for addressing a given research question. Implement data analysis through statistical programming. Generation of descriptive summary statistics, generation of presentation- and publication-quality charts and tables. Present results for investigators using graphs and tables. Run preliminary analyses for PIs and summarize findings through various formats. Summarize findings orally and in written form. Communicate statistical model assumptions, parameter estimate interpretations, and statistical inferential conclusions to both technical and non-technical audiences. Participate in the preparation of papers for publication. Prepare and finalize data tables, figures, methods, and results sections for manuscripts. 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. Offer statistical advice and consultation to PIs and collaborators. 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. * - Other duties may also be assigned.
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