Assistant Professor (Ophthalmology Research Track)

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 90,000 - 120,000; Full time

Job summary

A prestigious academic institution in Philadelphia seeks an Assistant Professor in Ophthalmology within the Research Track. This role requires a strong focus on independent research utilizing large healthcare datasets to advance ophthalmic studies. Candidates should have a PhD or MD in relevant fields and expertise in pharmacoepidemiology, artificial intelligence, and machine learning methods. The role involves developing a research program and mentoring graduate students while engaging in a collaborative environment.

Qualifications

• Strong commitment to independent research.
• Expertise in analyzing large healthcare datasets.
• Preference for experience in ophthalmology or vision-related research.

Responsibilities

• Develop and lead a high-impact research program.
• Contribute expertise in pharmacoepidemiology and advanced analytics.
• Conduct studies using large-scale datasets.
• Mentor and supervise master-level biostatisticians.

Skills

Peer-reviewed publications

Independent research funding

Communication skills

Collaboration skills

Pharmacoepidemiology

Artificial intelligence methods

Machine learning methods

Education

PhD, MD, or equivalent in relevant fields

Job description

Assistant Professor (Ophthalmology Research Track)

Location: Philadelphia, PA

Open Date: Mar 24, 2026

Deadline: Mar 24, 2028 at 11:59 PM Eastern Time

The Department of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania seeks outstanding candidates for a full-time Assistant Professor position in the Research Track. This position is intended for individuals with a strong commitment to independent research, with a particular focus on leveraging large-scale healthcare data to advance ophthalmic clinical research and patient care. A PhD, MD, and/or equivalent degree in epidemiology, biostatistics, data science, pharmaceutical sciences, health services research, or a related field is required. Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning methods, and in the analysis of large healthcare datasets (e.g., EHR, claims, or real-world data platforms such as TriNetX). Experience in ophthalmology or vision-related research is preferred but not required.

The selected candidate will develop and lead an innovative, externally funded research program utilizing large-scale data sources, including electronic health records (EHR), administrative health claims, and national or international research networks (e.g., TriNetX and similar platforms), to address critical questions in ophthalmology and vision science.

We are seeking candidates who can demonstrate:

• A strong record of peer-reviewed publications.
• Evidence of, or strong potential for, securing independent research funding.
• Excellent communication and collaboration skills.

Research responsibilities may include:

• Establish and sustain an independent, high-impact research program in ophthalmology using real-world data sources.
• Contribute to ophthalmology research through expertise in pharmacoepidemiology, real-world evidence generation, and advanced analytics using EHR and claims data.
• Lead and support both methodological and applied research, including the development and implementation of analyses integrating artificial intelligence and machine learning to evaluate treatment effectiveness and safety.
• Design and conduct studies using large-scale datasets, including EHR, claims databases, registries, and federated data networks.
• Perform and oversee programming and advanced statistical analyses using large, complex datasets.
• Collaborate with clinical faculty, data scientists, and interdisciplinary teams across the University of Pennsylvania.
• Contribute to manuscript preparation, publication, and dissemination of research findings in collaboration with project investigators.
• Secure extramural funding from federal agencies (e.g., NIH), foundations, and industry.
• Publish findings in high-impact peer-reviewed journals and present at national and international conferences.
• Mentor and supervise master-level biostatisticians in conducting statistical analyses of large-scale ophthalmic datasets.
• Mentor trainees, including fellows, residents, and graduate students.

The Department of Ophthalmology provides a highly collaborative and interdisciplinary environment, with access to rich clinical data resources, institutional data warehouses, and established partnerships across the University of Pennsylvania. The selected candidate will have opportunities to engage with leading programs in biomedical informatics, population health, and translational science.

Application Instructions

To apply, visit https://apply.interfolio.com/183518

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.