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role in advancing our mission to develop next-generation digital twin frameworks that integrate physics-based modeling, data-driven inference, and real-time monitoring to support robust lifecycle
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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing
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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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QUALIFICATIONS AND EDUCATION (List all desired skills/qualifications) Knowledge of evolutionary theory and use of genomic data to infer epidemic patterns Experience using next-generation sequencing to study within