Postdoc: AI-Driven Drug Safety & Real-World Evidence

University of Georgia; Kentucky; On-site; USD 47,476 - 56,484; Full time

Benefits offered by this job

Faculty and staff benefits per University of Georgia policy

Job summary

The University of Georgia is hiring a Post-Doctoral Associate to lead research in AI-driven risk prediction models related to drug safety. The role includes AI and data analysis, grant writing, managing real-world evidence studies, and mentoring junior researchers. Candidates should have a Pharm.D. or Ph.D., extensive experience with big data analysis, and excellent communication skills. The position offers a salary between $47,476 and $56,484, commensurate with experience, with an anticipated start date of May 1, 2026.

Qualifications

• Extensive experience with clinical datasets and big‑data analysis.
• Excellent scientific writing and oral communication skills.
• Collaborative team player with a growth mindset.

Responsibilities

• Develop and validate AI algorithms to identify drug-related risks.
• Author publications and draft grant applications.
• Manage big data repositories for real-world studies.
• Deliver lectures and mentor junior researchers.
• Ensure compliance with ethical standards.

Skills

AI & Data Analysis

Grant & Publication Writing

Real-World Evidence Studies

Teaching & Mentoring

Compliance & Ethics

Big-data analysis

Biostatistics

R

Python

SAS

C++

Education

Pharm.D. or Ph.D. in Pharmaceutical Sciences or related discipline

Job description

The University of Georgia is hiring a Post-Doctoral Associate to lead research in AI-driven risk prediction models related to drug safety. The role includes AI and data analysis, grant writing, managing real-world evidence studies, and mentoring junior researchers. Candidates should have a Pharm.D. or Ph.D., extensive experience with big data analysis, and excellent communication skills. The position offers a salary between $47,476 and $56,484, commensurate with experience, with an anticipated start date of May 1, 2026.