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

Ispn Psych; Cincinnati (OH); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Cincinnati Children’s Hospital Medical Center invites applications for a tenure-track faculty position at the Assistant or Associate Professor level in the Division of Translational and Clinical Pharmacology.

The successful candidate will develop an independent, externally funded program exploring how drugs, environmental exposures, nutrition, and microbiome-derived factors influence child health using NAMs and AI/ML frameworks.

Qualifications

• 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, AI/ML, quantitative modeling, systems biology, computational sciences, or related disciplines.
• Strong publication record and potential to secure extramural funding.

Responsabilités

• Develop and lead an independent, externally funded research program.
• Conduct innovative research in pediatric pharmacology, toxicology, multi-omics integration, AI/ML, PBPK/PKPD/QSP, and mechanistic modeling.
• Translate NAM-derived data to human and pediatric populations; connect experimental models with omics data and clinical outcomes.
• Mentor graduate students, postdocs, and junior faculty; collaborate across TCP and UC.

Connaissances

Quantitative pharmacology

AI/ML

Multi-omics integration

Systems biology

Computational modeling

Exposomics

Formation

PhD/MD/PharmD

Outils

NAMs (organoids, organ-on-chip)

Description du poste

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.exposomics, artificial intelligence (AI), machine learning (ML), systems biology, quantitative modeling, 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.We seek faculty who will complement existing strengths through innovative experimental, computational, or integrated research programs while contributing to multidisciplinary collaborations that improve child health. **Key Responsibilities**Research* Develop and lead an independent, externally funded research program.* Conduct innovative research in one or more of the following areas: + Pediatric pharmacology and developmental pharmacology + Toxicology, exposomics, and environmental health sciences + Multi-omics integration, biomarker discovery, and precision medicine + AI/ML-enabled biomedical research + PBPK, PopPK, PK/PD, QSP, systems toxicology, and mechanistic modeling + Translation of NAM-derived data to human and pediatric populations + 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. **Collaboration, Education, and Service*** 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. **Required Qualifications*** 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. **Preferred 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, environmental health sciences, rare diseases, or precision medicine.* Experience integrating omics, imaging, or clinical data into predictive models.* Familiarity with advanced computational methods, including cloud computing, generative AI, foundation models, or graph-based approaches.* Demonstrated commitment to mentorship and collaborative team science. **Why Cincinnati Children's and TCP?**TCP provides a uniquely collaborative environment for advancing pediatric translational science through experimental and computational approaches. Investigators benefit from world-class expertise in pharmacometrics, PBPK, QSP, systems toxicology, AI/ML, environmental health sciences, genomics, proteomics, metabolomics, bioinformatics, and biomedical data science.Faculty have access to outstanding clinical populations, advanced omics platforms, computational resources, and strong collaborations across pediatric specialties, rare disease programs, and translational research centers. This environment enables the development of next-generation frameworks combining NAMs, multi-omics, mechanistic modeling, and AI/ML to improve prediction of human biology, therapeutic outcomes, and environmental health risks in children.The successful candidate will establish a transformative research program that advances understanding of how drugs and environmental exposures influence child health while developing innovative translational approaches to improve prevention, diagnosis, and treatment of pediatric disease.**About Us**At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.**Cincinnati Children's is:*** Recognized by U.S. News & World Report as a **top 10****best Children's Hospitals in the nation** for more than 15 years* Consistently among the top 3 Children's Hospitals for **National Institutes of Health (NIH)** Funding* Recognized as one of **America’s Best Large Employers** (2025)**,** **America’s Best Employers for New Grads** (2025)* One of the nation's **America’s Most Innovative Companies** as noted by Fortune* Consistently certified as **great place to work*** A **Leading Disability Employer** as noted by the **National Organization on Disability*** Magnet designated for the fourth consecutive time by the **American Nurses Credentialing Center (ANCC)** We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.*Comprehensive job description provided upon request.**Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability*