Carolina Population Center · 5 months ago
Postdoc Research Fellow - Dr. Cao Lab
The University of North Carolina at Chapel Hill is a leading institution in innovative teaching, research, and public service. They are seeking a highly motivated Postdoctoral Research Fellow to develop innovative datasets and modeling approaches to support drug development and regulatory evaluation, focusing on drug pharmacokinetics and modeling for regulatory science.
Responsibilities
Develop innovative datasets and modeling approaches to support drug development and regulatory evaluation
Investigate how pharmacokinetic features relate to patient characteristics, drug efficacy, and safety profiles
Predict relationships using machine learning based on drug-specific information, patient demographics, and clinical trial data
Leverage drug development and regulatory datasets to build models and generate evidence for regulatory decision-making
Integrate mechanistic modeling and machine learning methods to analyze and predict drug properties, patient responses, and benefit-risk profiles
Qualification
Required
PhD in Biostatistics, Bioinformatics, Data Science, Pharmaceutical Sciences, Computer Science, Regulatory Science, or related fields
Strong publication record in relevant disciplines
Demonstrated expertise in computational modeling, data analysis, and statistical/machine learning methods
Excellent communication and scientific writing skills
Preferred
Experience in mechanistic pharmacokinetic/pharmacodynamic (PK/PD) modeling or systems pharmacology is highly desirable
Familiarity with regulatory science or clinical trial data is a plus
Benefits
Comprehensive medical and vision coverage
Paid leave
Benefits and services that support professional development and a healthy work/life balance
Company
Carolina Population Center
The Carolina Population Center (CPC) is a community of outstanding scholars and professionals associated to create new knowledge about population size, structure, and processes of change.
Funding
Current Stage
Early StageCompany data provided by crunchbase