67 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at Stanford University
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advancing research technologies into clinical applications. Learn more at https://med.stanford.edu/ctru.html . We are seeking two 2-Year Fixed Term Life Science Research Professional 1’s to be the main
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs
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) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular Biology, or a related field
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Stanford University is seeking a Life Science Research Professional 2 to assist in developing and deploying a pooled cell engineering platform using single-cell genomics and high-throughput gene
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108335
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108337
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Feb-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108157
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer science