PhD Candidate (f/m/x) in Ophthalmic Epidemiology

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Conduct research in ophthalmic epidemiology of aging in humans, with a focus on age-related macular degeneration. In particular, we expect you to:

• Perform integrative analyses combining multi-omics data with eye imaging data
• Contribute to ophthalmic data collection and processing
• Contribute to omics data processing, statistical analyses, and the preparation of manuscripts for publication in peer-reviewed journals
• Present research findings at national and international conferences
• Actively participate in project-related meetings, documentation, and reporting of project progress
• Contribute to ongoing projects within the group and develop independent research ideas

• A Master’s degree (or equivalent) in a relevant field, such as epidemiology, bioinformatics, medicine, biomedical sciences, or a related discipline
• A genuine interest in scientific research and quantitative analysis
• Strong proficiency in written and spoken English
• Statistical knowledge and experience with programming in R
• Experience with epidemiological research or large-scale observational studies, particularly involving omics and eye imaging data, including the application of machine learning methods for pattern recognition and predictive modeling is desirable but not a prerequisite
• Strong analytical skills, independent and critical thinking, and attention to detail
• Flexibility, strong interpersonal skills, and enjoyment of working in an interdisciplinary and international team
• Proficiency in written and spoken German

Your Role in Cutting-Edge Research

The PhD project will be supervised by Dr. Dr. Petra Larsen, scientific lead of the ophthalmic epidemiology team. The research is embedded in the large population-based Rhineland Study, a comprehensive long-term cohort investigating determinants of brain health. We are seeking an enthusiastic and ambitious early-career researcher with a strong interest in investigating multi-omic and eye imaging signatures in the context of age-related macular degeneration, starting by 01.08.2026 at the latest. 

The Ophthalmic Epidemiology research team investigates deep phenotyping of retinal ageing, preclinical changes and disease, as well as the comprehensive assessment of risk factors driving the onset and progression of both preclinical and clinical disease. These include genetic, molecular and environmental factors.

The PhD thesis will focus on the relationship between ageing and age-related macular degeneration and encompass the full breadth of scientific work, including the development and implementation of study protocols,  coordination and supervision of data collection, and data analysis and publication.

The project will leverage data from the Rhineland Study, a deeply-phenotyped, large-scale population-based cohort study. Available data include comprehensive multi-omics data, including (epi)genomics, transcriptomics, metabolomics, lipidomics, and proteomics; eye imaging data, advanced MRI data as well as extensive behavioral and clinical data, including cognitive and neurological assessments, cardiovascular assessments, medical history, and medication use. The study currently includes over 14,000 individuals, of whom more than 6,000 already have longitudinal data. Additional baseline and follow-up data collection is ongoing.

• Innovation and internationality:

  A forward-looking infrastructure, modern laboratory and office equipment, software tools and the opportunity for international exchange with your colleagues from 65 nations

• Focus on Development:

  Training programmes tailored to your individual needs and annual HR-development meetings for concrete prospects and potential development

• Health promotion:

  Through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund

• Family-conscious corporate culture:

  Because we know that familie is important, we support you with our family service

• Work-life balance:

  We reconcile work and private life with flexible working hours, 30 days' holiday (On top free on Christmas Eve and New Year's Eve) and subsidised job/ Germany ticket options

• A feel-good working environment:

  Our Bonn employees enjoy a campus surrounded by greenery, with on-site parking and public transport connections as well our company restaurant

Interested applicants are invited to submit a cover letter, a CV, and transcripts in one single PDF file. The cover letter should describe the motivation to apply for this position and outline how research interest and experience align with the with the work  conducted in our group. Please highlight any relevant projects, publications, or collaborations. Note: We highly value authenticity in applications and discourage the use of AI-generated cover letters.

Review of applications will begin immediately and continue until the position is filled.

For inquiries about the position, please contact Dr. Dr. Petra Larsen petra.larsen@dzne.de.