Postdoc Research Fellow - Dr. Cao Lab

Join to apply for the Postdoc Research Fellow - Dr. Cao Lab role at Inside Higher Ed
.

1 day ago - Be among the first 25 applicants.

Hiring Range - Dependent on experience and qualifications.

Estimated Duration Of Appointment - 12 Months.

Department - SOP-DPET - 452200.

Posting Open Date - 08/22/2025.

Open Until Filled - Yes.

Position Type - Postdoctoral Scholar.

Position Title - Postdoc Research Fellow - Dr. Cao Lab.

Vacancy - PDS
004630.

Full-time/Part-time - Full-Time Temporary.

Hours Per Week - 40.

Fte - 1.

Work Location: Chapel Hill, NC.

Position Location: North Carolina, US.

Be a Tar Heel!: A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.

Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.

UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage
, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.

About the Group:
Our Research Group Is Dedicated To Developing Innovative Datasets And Modeling Approaches To Support Drug Development And Regulatory Evaluation. We Focus On Two Major Research Areas

• Drug Pharmacokinetics (PK) and Clinical Relevance – 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.
• Modeling for Regulatory Science – 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.

We are seeking multiple highly motivated Postdoctoral Research Fellows with expertise in systems pharmacology, machine learning, and/or data science to join our interdisciplinary team. The successful candidate will work at the intersection of drug development, regulatory science, and advanced computational modeling. This position will involve 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.

This position will have a great opportunity to interact with top experts in the field to directly address drug development issues.

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.
• 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.

• Strong publication record in relevant disciplines.
• Demonstrated expertise in computational modeling, data analysis, and statistical/machine learning methods.
• Excellent communication and scientific writing skills.
• 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.

Apply online at . Submit a cover letter describing research experience, interests, and career goal, a CV/resume with full publication list, and three (3) professional references with their full contact information. For information on UNC Postdoctoral Benefits and Services .