Postdoc: Pharmacoepidemiology & Health Informatics (AI/EHR)

Rutgers University; New Brunswick (NJ); On-site; USD 60,300 - 73,700; Full time

Benefits offered by this job

Medical, prescription, dental coverage

Paid vacation and holidays

Competitive retirement benefits with 4

Educational benefits for employee and,

Job summary

Rutgers University is seeking a Postdoctoral Associate in Pharmacoepidemiology/Health Informatics to join a multidisciplinary team focused on cognitive aging and dementia. The role involves designing cohort studies, advanced statistical analyses, and developing AI-based safety platforms.

Candidates should have a PhD in a related field and strong skills in R, Python, and SQL, with experience in healthcare data using Medicaid, Medicare, or EHRs.

Qualifications

• PhD in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field.
• Prior experience with applied pharmacoepidemiology and healthcare analytics (Medicaid, Medicare, commercial, EHR populations).
• Proficiency in R, Python, and SQL.

Responsibilities

• Design observational cohort studies examining drug-drug interactions and dementia risk using large-scale EHR and claims data.
• Lead statistical analyses (IPTW-weighted Cox, active comparator new-user designs, self-controlled case series, propensity scoring).
• Develop and extend an AI-based drug safety signal prioritization platform.
• Support grant preparation and contribute to grant aims.
• Collaborate with mentors in pharmacoepidemiology and related clinical research domains.

Skills

Leadership

Education

PhD in Health Informatics or related field

Tools

R

Python

SQL

Job description

Rutgers University is seeking a Postdoctoral Associate in Pharmacoepidemiology/Health Informatics to join a multidisciplinary team focused on cognitive aging and dementia. The role involves designing cohort studies, advanced statistical analyses, and developing AI-based safety platforms.

Candidates should have a PhD in a related field and strong skills in R, Python, and SQL, with experience in healthcare data using Medicaid, Medicare, or EHRs.