Tenure-Track Translational Pharmacology & AI/Omics

Cincinnati Children's

United States

On-site

USD 130,000 - 190,000

Full time

14 days+

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Job summary

Cincinnati Children’s invites applications for a tenure-track research faculty position at the Assistant or Associate Professor level in the Division of Translational and Clinical Pharmacology. The candidate will build an independent program combining quantitative pharmacology, exposomics, and AI/ML to study how drugs and environmental factors shape child health.

We value innovative multi-omics approaches, NAMs, PBPK/QSP modeling, and collaborations across clinical and computational sciences to

Qualifications

  • 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.
  • Experience working with multi-omics datasets across biological, clinical, environmental, and pharmacological domains.

Responsibilities

  • Develop and lead an independent, externally funded research program.
  • Conduct innovative research in pediatric pharmacology, exposomics, and environmental health sciences, including AI/ML-enabled analyses.
  • Establish collaborations across Cincinnati Children’s and the University of Cincinnati to accelerate translational applications.
  • Mentor graduate students, postdocs, and junior faculty.
  • Translate NAM-derived data to human and pediatric populations using mechanistic and AI-based approaches.
  • Contribute to strategic initiatives that strengthen TCP’s leadership in translational pharmacology and precision medicine.

Skills

Quantitative pharmacology
Toxicology
Exposomics
Proteomics
Metabolomics
AI/ML
Quantitative modeling
Systems biology
Computational sciences

Education

PhD, PharmD/PhD, MD/PhD, or equivalent

Job description

Cincinnati Children’s invites applications for a tenure-track research faculty position at the Assistant or Associate Professor level in the Division of Translational and Clinical Pharmacology. The candidate will build an independent program combining quantitative pharmacology, exposomics, and AI/ML to study how drugs and environmental factors shape child health.

We value innovative multi-omics approaches, NAMs, PBPK/QSP modeling, and collaborations across clinical and computational sciences to

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