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of causal inference. The position provides opportunities to participate in rigorous, quantitative research that tries to shed light on how individuals and families navigate disease and the healthcare system
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datasets for model training in computers. Independently conduct experiments; maintain detailed records of experiments and outcomes; run training and inference of AI models for cancer diagnosis, prognosis and
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genomics datasets for model training in computers. Independently conduct experiments; maintain detailed records of experiments and outcomes; run training and inference of AI models for cancer diagnosis
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. The expected base pay range for this position exceeds Stanford guidelines. Required Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference