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happens, and how it can be made better. This is a role for someone who’s excited to work with big, messy, real-world data — and who wants to do more than just build models. We’re looking for a researcher
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degree or higher. * Relevant experience in statistics, biostatistics, data science, or a similar quantitative field. * Highly proficient in SQL and/or SAS with experience manipulating large, complex
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: Experience combining large clinical and research data sets. Interested and comfortable working with pediatric patients with special needs. A track record of publications in relevant fields. Required
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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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, submit the required application materials, or find out more information, please contact Dr. Brian Kim (kimjb at stanford edu). The position will remain open until filled. Does this position pay above the
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disciplines and mentors Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend. $75,000+ per
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from real world longitudinal data on management and health outcomes for children with mental health conditions. Methods have included deep learning, large language models (LLM), generative AI models (Gen
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Clinical Trial Post Award Administrator - Research Administrator 3 (Remote) The Research Administrator 3 will manage the post-award administration for a large and diverse set of complex Industry sponsored
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assistant to join a unique, large-scale, grant-funded intervention project exploring the psychology and neuroscience of open-mindedness in political contexts. This position is ideal for a post-baccalaureate
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on hotspot detection. This modeling work is well supported by large-scale primary datasets, including survey-based, parasitological, serologic, and genomic data. Relevant methodologies include mechanistic