Research Associate/Bioinformatician
IOB - Institute of Molecular and Clinical Ophthalmology Basel
Basel, Switzerland
We are looking for a Research Associate/Bioinformatician to lead the quantitative analysis of retinal imaging datasets. You will work with high-dimensional representations learned from retinal images, develop longitudinal models of disease progression, and build data-driven approaches for patient stratification and clinically relevant outcome prediction. The position sits at the intersection of computational biology, medical image analysis, and translational ophthalmology.
Your responsibilities
- Analyze large-scale retinal imaging datasets (e.g. OCT, fundus photography) using deep-learning-derived imaging features;
- Develop and validate statistical and machine learning models of disease progression;
- Build patient stratification and phenotyping pipelines;
- Collaborate with clinicians to translate computational findings into clinical trial design, patient selection criteria, and endpoint development;
- Contribute to the group's publication output and present findings at international conferences.
Requirements
Minimum qualifications
- MSc or PhD in computational biology, bioinformatics, computer science, biomedical engineering, physics, statistics, or a related quantitative field;
- Strong Python programming skills and experience developing reproducible data-analysis workflows;
- Experience working with complex, high-dimensional biomedical or imaging datasets, including data quality control and validation;
- Ability to explain technical methods and results clearly to both computational and clinical collaborators;
- Evidence of independent quantitative research, such as a thesis, publication, preprint, software project, or substantial analytical contribution.
Preferred qualifications
- Experience with medical image analysis, retinal imaging, or ophthalmic data;
- Experience with survival analysis frameworks, mixed-effects modeling, or Bayesian approaches to disease progression;
- Experience with representation learning and generative or temporal modelling in learned representation spaces, for example using diffusion models, latent-variable models, or neural state-space models;
- Experience with statistical modelling or machine learning applied to longitudinal, repeated-measures, or time-to-event data;
- Experience with high-dimensional data analysis (e.g. embeddings, single-cell, or omics data), including dimensionality reduction, clustering, and phenotyping.
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Research Associate/Bioinformatician in Basel Arbeitgeber: IOB - Institute of Molecular and Clinical Ophthalmology Basel
Das Institut für Molekulare und Klinische Ophthalmologie Basel (IOB) ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem internationalen und innovativen Forschungsumfeld zu arbeiten. Wir fördern eine Kultur des gegenseitigen Vertrauens und bieten zahlreiche Vorteile wie familienfreundliche Richtlinien, eine zentrale Lage in Basel mit hervorragenden Verkehrsanbindungen sowie Zugang zu Sporteinrichtungen. Bei uns haben Sie die Chance, Ihre Fähigkeiten weiterzuentwickeln und aktiv zur Entwicklung neuer Therapien für Augenkrankheiten beizutragen.
Kontaktdaten:
IOB - Institute of Molecular and Clinical Ophthalmology Basel Recruiting-Team
