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experience with autism and specifically psychometrics is desirable. In particular, the candidates should have demonstrable experience with latent variable approaches and proficiency in relevant statistical
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University and lead advanced statistical analyses for multiple longitudinal, multi-site, and cross-national projects. The successful candidate will contribute to ongoing research examining ethnic-racial
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statistical software package. Good communication skills in English. Required Application Materials: CV (no cover letter or letters of reference required) Stanford is an equal opportunity employer and all
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processing, statistical computation, methods development, data interpretation, literature review and manuscript/grant preparation. Additional Duties:• Supervision of undergraduates, graduate students and new
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degree in biomedical data science, computational biology, genetics, bioinformatics, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have
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technical partners at Stanford and beyond. We are particularly interested in candidates with backgrounds in biomedical informatics, computer science, machine learning, statistics, data science, computational
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, AI/ML, biomedical image analysis, multimodal integration, quantitative pathology, statistics, or computational modeling. Cancer Biology: Tumor microenvironment, cancer immunology, stromal/ECM biology
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fields. Applicants should have a range of quantitative skills including graduate-level knowledge of spatial data analysis, data management, statistics, and machine learning/computer vision. Advanced
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precision medicine approaches is preferred. Familiarity with psychological constructs and/or experience with human subject data is preferred. Profound experience in statistical and computational approaches
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of study interventions Monitoring intervention fidelity Management of IRB applications Data management and statistical analysis, including multi-level modeling of longitudinal and nested trial data