Translational Pharmacology, Omics, & AI - Assistant/Associate Professor - Tenure Track

About the role

The Division of Translational and Clinical Pharmacology (TCP) at Cincinnati Children's Hospital Medical Center (CCHMC) invites applications for a Tenure-track research faculty position at the Assistant or Associate Professor level. We seek an innovative and collaborative scientist with expertise in quantitative pharmacology or toxicology, with complementary expertise in exposomics, proteomics, metabolomics, artificial intelligence/machine learning (AI/ML), quantitative modeling, systems biology, computational sciences, or related disciplines. The successful candidate will develop an independent, externally funded research program focused on understanding how drugs, environmental exposures, nutrition, microbiome-derived factors, and other components of the exposome influence child development, disease susceptibility, therapeutic responses, and lifelong health outcomes. Research programs integrating human-relevant New Approach Methodologies (NAMs), including organoids, microphysiological systems, and multi-omics data with AI/ML-enabled predictive frameworks are particularly encouraged. TCP is internationally recognized for leadership in pediatric clinical and translational pharmacology, pharmacometrics, multi-omics, physiologically based pharmacokinetic (PBPK) modeling, quantitative systems pharmacology (QSP), environmental health sciences, model-informed precision dosing (MIPD), and model-informed drug development (MIDD). Faculty benefit from extensive collaborations across Cincinnati Children's and the University of Cincinnati in clinical, translational, and computational sciences.

Responsibilities

• Develop and lead an independent, externally funded research program.
• Conduct innovative research in pediatric pharmacology and developmental pharmacology.
• Conduct innovative research in toxicology, exposomics, and environmental health sciences.
• Conduct innovative research in multi-omics integration, biomarker discovery, and precision medicine.
• Conduct innovative research in AI/ML-enabled biomedical research.
• Conduct innovative research in PBPK, PopPK, PK/PD, QSP, systems toxicology, and mechanistic modeling.
• Translate NAM-derived data to human and pediatric populations.
• Develop hybrid mechanistic-AI approaches for predicting exposure, disease progression, and therapeutic outcomes.
• Develop frameworks that connect experimental models, omics data, and clinical outcomes.
• Establish collaborations that accelerate translational applications and therapeutic innovation.
• Build collaborations within TCP and across Cincinnati Children's and the University of Cincinnati.
• Work closely with clinicians, quantitative scientists, computational biologists, and AI researchers.
• Mentor graduate students, postdoctoral fellows, trainees, and junior faculty.
• Participate in institutional, national, and international scientific activities.
• Contribute to strategic initiatives that strengthen TCP's leadership in translational pharmacology, toxicology, exposomics, and precision medicine.

Requirements

• PhD, PharmD/PhD, MD/PhD, or equivalent doctoral degree in a relevant discipline.
• Demonstrated expertise in quantitative pharmacology or toxicology, with complementary expertise in exposomics, proteomics, metabolomics, artificial intelligence/machine learning (AI/ML), quantitative modeling, systems biology, computational sciences, or related disciplines.
• Strong publication record and potential to secure extramural funding.
• Experience working with biological, clinical, environmental, pharmacological, or multi-omics datasets.
• Excellent communication skills and commitment to collaborative science.

Qualifications

• Expertise in AI/ML, PBPK, PopPK, QSP, PK/PD, systems toxicology, or mechanistic modeling.
• Experience with organoids, organ-on-chip systems, microphysiological systems, or other NAMs.
• Interest in pediatric health, developmental biology