Inside Higher Ed · 1 month ago
Postdoc Research Fellow - Dr. Cao Lab
The University of North Carolina at Chapel Hill is a global leader in higher education, consistently ranking among the nation's top public universities. They are seeking a highly motivated Postdoctoral Research Fellow to join their interdisciplinary team, focusing on drug development and regulatory science through advanced computational modeling and machine learning.
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Responsibilities
Integrating mechanistic modeling and machine learning methods to analyze and predict drug properties, patient responses, and benefit-risk profiles, using real-world and regulatory datasets
Investigating how pharmacokinetic features relate to patient characteristics, drug efficacy, and safety profiles, and how these relationships can be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data
Leveraging drug development and regulatory datasets to build models and generate evidence that can inform regulatory decision-making and accelerate the development of safe and effective therapeutics
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
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
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