Ophthalmology Research Scientist — AI & Big Data

University of Pennsylvania Perelman School of Medicine; Philadelphia (Philadelphia County); On-site; USD 110,000 - 180,000; Full time

Job summary

University of Pennsylvania Perelman School of Medicine Ophthalmology seeks an outstanding candidate for a full-time Assistant Professor position in the Research Track. The role focuses on leveraging large-scale healthcare data to advance ophthalmic research and patient care, with required PhD/MD or equivalent in epidemiology, biostatistics, or related fields.

Experts in pharmacoepidemiology, AI/ML methods, and analysis of EHR/claims data are preferred.

Qualifications

• PhD, MD, or equivalent required.
• Expertise in pharmacoepidemiology and AI/ML methods.
• Experience with large healthcare datasets (EHR, claims, or real-world data).

Responsibilities

• Establish and lead an independent, high-impact research program in ophthalmology using large-scale data sources.
• Contribute to ophthalmology research through pharmacoepidemiology, real-world evidence generation, and advanced analytics using EHR and claims data.
• Lead methodological and applied research, including development of AI/ML analyses to evaluate treatment effectiveness and safety.
• Design and conduct studies using large-scale datasets (EHR, claims, registries, federated networks).
• Perform and oversee programming and advanced statistical analyses on large datasets.
• Collaborate with clinical faculty, data scientists, and interdisciplinary teams across Penn.
• Contribute to manuscript preparation, publication, and dissemination of findings with project investigators.
• Secure extramural funding from NIH, foundations, and industry.
• Publish in high-impact journals and present at conferences.
• Mentor master-level biostatisticians, fellows, residents, and graduate students.

Skills

Independent research leadership

Collaboration

Communication

Education

PhD/MD or equivalent

Tools

TriNetX

Job description

University of Pennsylvania Perelman School of Medicine Ophthalmology seeks an outstanding candidate for a full-time Assistant Professor position in the Research Track. The role focuses on leveraging large-scale healthcare data to advance ophthalmic research and patient care, with required PhD/MD or equivalent in epidemiology, biostatistics, or related fields.

Experts in pharmacoepidemiology, AI/ML methods, and analysis of EHR/claims data are preferred.