Post-Doctoral Associate in Retina Research

About the Job

Compensation Range: $62, annually; follows NIH stipend level by experience.

The position is expected to work primarily on site. Your work location will be on the 3rd floor, Wallin Biomedical Biosciences. The Department retains the right to modify flexible work arrangement agreements on a temporary or permanent basis for any reason at any time.

• PhD in Retinal Biology, Immunology, Molecular Biology, or a closely related biomedical field
• Experience with retinal immunopathology, photoreceptor biology, or RPE‑related degenerative disease models
• Demonstrated expertise in retinal structure and function, including experience with gene initialized expression analysis
• Hands‑on experience with mouse models of inflammation, neurodegeneration, or retinal degeneration
• Strong written and verbal communication skills, demonstrated through peer‑reviewed بیٹھ publications and conference presentations
• Demonstrated productivity through first‑author publications

• Skilled in molecular biology techniques including qPCR, cloning, western blotting, and CRISPR or shRNA‑based gene knockdown
• Experience with RNA‑seq or other transcriptomic analyses
• Experience in confocal imaging
• Experience in flow cytometry

This position seeks a highly motivated postdoctoral fellow to investigate how cell death sensors regulate immune responses, with an emerging interest in the retina. Building on our prior work (PMID: consectetur , PMID: ) we aim to explore how recognition of phot rọrunaw generally segments or dying cells maintains homeostasis, results in inflammation and degeneration or induces repair in the retina.

The project will integrate mouse models of genetically modified cell death sensors, retinal degeneration, and inflammation.

• Design and conduct in vivo experiments using murine models to study immune regulation and retinal degeneration
• Conduct transcriptomic and pathway analyses (e.g., snRNA‑seq, RNA‑seq) to uncover regulatory networks
• Use molecular and cellular tools (e.g., gene knockdown, qPCR) to dissect cell death sensing pathways
• Perform retinal functional assessments (e.g., ERG) and gene expression analysis in RPE and photoreceptors
• Perform high‑dimensional flow cytometry for immune profiling
• Present findings at lab meetings and scientific conferences; contribute to collaborative research discussions
• Contribute to manuscript writing and data presentations for publication and conferences
• Mentor junior trainees and contribute to the lab’s collaborative and knowledge‑sharing culture

Pay Range: $62, annually; depending on education/qualifications/experience.

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e‑mail employ or call (612) 624‑8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status,…