Post Doctoral.Post Doctoral.Associate

University of Pittsburgh • Pittsburgh, PA

3d

About The Position

The University of Pittsburgh is seeking a highly motivated Postdoctoral Associate to join the CAR Lab, a multidisciplinary research group focused on advancing innovation in retinal diseases through artificial intelligence, imaging, and translational research. The lab works at the intersection of clinical ophthalmology, and computational modeling.

Requirements

• MD, or equivalent degree in ophthalmology, or a related field
• Strong background in image analysis
• Demonstrated ability to write and publish scientific manuscripts
• Strong analytical, organizational, and communication skills
• Ability to work both independently and in a collaborative research environment

Nice To Haves

• Familiarity with ophthalmic imaging (preferred but not required)

Responsibilities

• Conduct independent and collaborative research in retinal imaging and AI
• Develop and validate algorithms for analysis of OCT, OCT-A, and fundus imaging
• Perform statistical and quantitative analysis of large-scale clinical datasets
• Contribute to study design, data interpretation, and manuscript preparation
• Publish findings in high-impact peer-reviewed journals and present at national/international conferences
• Collaborate with cross-functional teams, including clinicians, engineers
• Assist in mentoring graduate students and research staff as needed

Benefits

• Access to large-scale clinical imaging datasets and cutting-edge research infrastructure
• Opportunities to work on high-impact, translational projects influencing clinical practice and clinical trials
• Travel support for national and international conferences
• Opportunities to collaborate with industry partners and participate in multicenter studies
• Professional development through University of Pittsburgh workshops and training programs
• Mentorship and career development support toward academic or industry pathways

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees