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health and wellness initiatives at the community level. We also provide training in other evidence-based models and approaches (e.g., Screening, Brief Intervention, Referral to Treatment [SBIRT
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are particularly encouraged to apply. The Department is particularly interested in candidates with the ability to perform predictive modeling and develop advanced polygenic scores. The candidate must be able
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management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive decline; Natural Language Processing (NLP) for remote cognitive assessment; image
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multidisciplinary care models, including clinical centers of excellence (e.g. ALSA, MDA, CMTA, PPMD) Enhance statewide approach to care Guide recruiting and retention of faculty and staff Promote new treatments and
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and organizational use of information systems, cybersecurity, management/development/application of AI, applications of modern digital tools for organizations and/or programming and modeling in
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: Candidates will engage with investigators, clinicians, trainees, IU Health partners, and community collaborators across a highly interdisciplinary academic health system. · Flexible fit: Faculty rank
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Responsibilities Pharmacological Modeling: Utilize computational tools to predict potential drug-drug interactions, metabolic pathways, and off-target toxicities within complex physiological systems. Team Science
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patient applications and treatments. Candidates should have experience in in cancer biology and immunology in-vitro and mouse models (xenograft, GEMM, etc). Experience in RNA seq/ single cell RNAseq is
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standardized clinical operations while allowing appropriate differentiation among programs. Oversee clinic scheduling, space utilization, staffing models, and clinical workflows to optimize educational value and
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for a signing bonus of up to $100,000. • Full-time position with full benefits and provision to balance clinical and academic time. • Flexible work model with both on-site assignments and shared work-from