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strategies for solid tumors. Our research spans both mechanistic and systems-level studies of cytokine and receptor signaling, T cell programming, cancer cell intrinsic immune evasion, and the tumor
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of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows into independent research careers; many have achieved their own NIH K/R grants and
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis
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data analysis, machine learning and computer vision. The position will be based at Stanford University. The fellowship has two primary goals: to advance our research program on the health impacts
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available as part of the Stanford Training Program in Ethical, Legal, and Social Implications (ELSI) Research and at the Center for Integration of Research on Genetics and Ethics (CIRGE). Candidates from
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to continue for a second year; any reappointment is contingent on satisfactory progress, program need, continued funding, and Stanford University approval. The appointment includes eligible medical, dental
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comparison. Supporting this program—and this position—are NIH awards under NIMH’s priority initiative, Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH), and a
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molecular epidemiology studies of traits related to cardiovascular disease using large-scale population biobanks including but not limited to the Million Veteran Program (>1.1M), the Women’s Health Initiative
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experience with large-scale human datasets, machine learning, statistical genetics, causal inference, multi-omics, cardiovascular imaging, programming in Python or R, and scientific writing. Prior experience
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ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics