Post-Doctoral Associate

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

Post‑Doctoral Associate

The Post‑Doctoral Associate will spearhead a high‑impact, multi‑pronged research program leveraging big data to design and evaluate real‑world studies. The role focuses on developing AI‑driven risk prediction models for drug‑related adverse events, securing funding, and translating insights into clinical practice.

Duties & Responsibilities

• AI & Data Analysis (35%) – Develop and validate artificial intelligence algorithms and machine learning models to identify and stratify risks for drug‑related adverse events using large‑scale clinical datasets.
• Grant & Publication Writing (30%) – Author high‑impact publications and draft technical sections for NIH and private foundation grant applications to ensure lab sustainability.
• Real‑World Evidence Studies (20%) – Manage and analyze big data repositories to design and execute robust RWE studies that evaluate drug safety and effectiveness.
• Teaching & Mentoring (10%) – Co‑develop and deliver lectures for data science courses and facilitate hands‑on sessions in data visualization and modeling; mentor junior researchers.
• Compliance & Ethics (5%) – Ensure all computational and clinical research adheres to UGA’s ethical and regulatory standards.

Minimum Qualifications

• Pharm.D. or Ph.D. in Pharmaceutical Sciences or a related discipline.
• Extensive experience with clinical datasets and big‑data analysis; proficiency in biostatistics and at least one coding language (e.g., R, Python, SAS, C++).
• Excellent scientific writing and oral communication skills.
• Growth mindset, collaborative team‑player, and high motivation to publish impactful work.

Salary & Start Date

Advertised Salary: $47,476 to $56,484+ (commensurate with experience). Anticipated start date: May 1 2026.

Benefits

Faculty and staff benefits available per University of Georgia policy (details available upon request).

Equal Opportunity Statement

The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, veteran status, or other protected status.

Application Requirements

• A cover letter (max 2 pages) addressing your experience relative to responsibilities.
• Curriculum vitae.
• Unofficial transcript or document proving the terminal degree has been awarded.
• Research portfolio or philosophy (max 2 pages).
• Contact information for three professional references.

Contact

For questions, contact Cameron D. Thomas, Pharm.D., Ph.D., Assistant Professor, University of Georgia College of Pharmacy, [e-mail].