Retina Bioinformatics Research Associate

1000scholars; Basel; On-site; CHF 95,000 - 150,000; Full time

Job summary

IOB Basel seeks a Research Associate/Bioinformatician to lead quantitative analysis of retinal imaging datasets and to develop longitudinal models of disease progression for patient stratification and outcome prediction.

You will work at the intersection of computational biology, medical image analysis, and translational ophthalmology, collaborating with clinicians to translate computational findings into clinical trial design and endpoint development.

Qualifications

• MSc or PhD in computational biology, bioinformatics, CS, biomedical engineering, physics, statistics, or related quantitative field.
• Strong Python programming skills and reproducible workflows.
• Experience with complex high-dimensional biomedical or imaging datasets.
• Ability to explain methods to both computational and clinical collaborators.
• Evidence of independent quantitative research (thesis, publication, software, or analytics).

Responsibilities

• Analyze large-scale retinal imaging datasets (OCT, fundus) using deep-learning imaging features.
• Develop and validate statistical and ML models of disease progression.
• Build patient stratification and phenotyping pipelines.
• Collaborate with clinicians to translate findings into trial design and endpoints.
• Contribute to publications and present findings at conferences.

Skills

Python

Data analysis workflows

High-dimensional data handling

Communication to clinicians

Independent quantitative research

Education

MSc or PhD in computational biology / bioinformatics / related field

Tools

Python (scikit-learn, PyTorch)

Job description

IOB Basel seeks a Research Associate/Bioinformatician to lead quantitative analysis of retinal imaging datasets and to develop longitudinal models of disease progression for patient stratification and outcome prediction.

You will work at the intersection of computational biology, medical image analysis, and translational ophthalmology, collaborating with clinicians to translate computational findings into clinical trial design and endpoint development.