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RESEARCH INTERN - OPHTHALMOLOGY

Requisition # 866

Position Basics


Advertising Ends on:Monday, June 30th, 2025
Advertising Started on:Monday, June 16th, 2025
College:Carver College of Medicine
Department:Inst for Vision Research

Salary


Salary:$38,755.00 to Commensurate

Position Details


Full/Part Time Status:Full Time
Percent Time:100%
Position Description:

Research Intern (PZ50)



Department of Ophthalmology & Visual Sciences



Elliott Sohn Lab



                               



 



Full/Part Time Status:    Full Time



 



Percent Time:                    100%



 



Position Description:      The Department of Ophthalmology and Visual Sciences is seeking a motivated research intern who is interested in ophthalmology to assist in refinement of AI models as well as validation of new biomarkers and data analysis to be able to predict whether patients will be responsive to anti-VEGF injections and corticosteroids. Duties of the Research Intern include:



 



DME and AI-driven biomarkers



Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME).




  • Data processing and image annotation to support development of AI models trained on OCT scans from DME patients.

  • QA of segmentation of retinal layers and fluid compartments using and validating automated tools such as Deep LOGISMOS.

  • Analysis of clinical biomarkers, including linking OCT-derived features with visual acuity outcomes in patients treated with anti-VEGF agents or corticosteroids.

  • Subject re-ascertainment and coordination of blood sample collection for a cohort of patients

  • Bioinformatics and immune system profiling, using PBMCs from relevant subjects to investigate the immunologic basis for differential treatment response.

  • Active involvement in statistical analysis and manuscript preparation.

  • Contribution to abstract submission and presentation of results at national meetings (e.g., ARVO).



 



This work parallels and builds on efforts already underway in neovascular AMD and has significant public health implications for improving DME treatment response predictions and therapeutic decision-making.



 



AMD Imaging and Immunogenetics



A broader focus of the Research Intern role will be contributing to ongoing AMD studies that integrate genetic, immunologic, and AI-based OCT biomarkers:




  • Subject re-ascertainment and coordination of blood sample collection for a cohort of patients genotyped for MMP9, CFH, and ARMS2 variants.

  • Support immunophenotyping and multiplex cytokine profiling of AMD patient PBMCs.

  • Assist in analysis of genotype–phenotype correlations by combining OCT imaging biomarkers with clinical and immune profiles to predict treatment outcomes in neovascular AMD.

  • Manual OCT segmentation for AI model validation and QA

  • Integration of data across AMD and DR projects to support shared analytic frameworks, reflecting a systems-level approach to retinal disease mechanisms.



 



Research (Interdisciplinary training and scholarly output)




  • Regular participation in lab meetings, journal clubs, and departmental and university-wide seminars across engineering, medicine, and vision research.

  • Close collaboration with engineers, biostatisticians, and immunologists.

  • Gain mentorship experience through peer interactions and regular guidance from Dr. Sohn, lab members and collaborating faculty.



Additional information about the Research Internship Program can be found at: http://research.uiowa.edu/post-baccalaureate-research-internship



 



Supervision Received:



General supervision is received from Ophthalmology faculty, specifically Dr. Elliot Sohn

Education Requirement:

Education Requirement The candidate should have a Bachelor’s degree in a field related to health sciences.

Required Qualifications:

Required Qualifications:  Excellent written, verbal and interpersonal communication skills; strong organizational skills; experience working independently and in a group setting; an ability to coordinate multiple projects; proficiency with computer software including Microsoft Word and  Adobe Acrobat; familiarity with databases and data entry.

Desirable Qualifications:

Desirable Qualifications



Knowledge of medical terminology



 



Experience in a healthcare or ophthalmology or setting



 



Knowledge or previous coursework in the research process



 



Demonstrated ability to multi-task and excellent time management skills


Online Application Required Documents


 Resume

To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information.


Contact Information


Contact:Melissa Monhollon - melissa-monhollon@uiowa.edu
Cmed-Ophthalmology & Visual Sc
Pomerantz Family Pavilion
720 Melrose Avenue
11136-A PFP
Iowa City, IA 52242
Phone: 319-356-4674



The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences. The University also affirms its commitment to providing equal opportunities and equal access to University facilities. Women and Minorities are encouraged to apply for all employment vacancies. For additional information on nondiscrimination policies, contact the Coordinator of Title IX and Section 504, and the ADA in The Office of Civil Rights Compliance, 319/335-0705 (voice) or 319/335-0697 (text), The University of Iowa, 202 Jessup Hall, Iowa City, Iowa, 52242-1316.

Persons with disabilities may contact University Human Resources/Faculty and Staff Disability Services, (319) 335-2660 or fsds@uiowa.edu, to inquire or discuss accommodation needs.

Prospective employees may review the University Campus Security Policy and the latest annual crime statistics by contacting the Department of Public Safety at 319/335-5022.