h3Research Associate/Bioinformatician /h3pIOB - Institute of Molecular and Clinical Ophthalmology Basel /ppBasel, Switzerland /ppWe 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. /ph3Your responsibilities /h3ulliAnalyze large-scale retinal imaging datasets (e.g. OCT, fundus photography) using deep-learning-derived imaging features; /liliDevelop and validate statistical and machine learning models of disease progression; /liliBuild patient stratification and phenotyping pipelines; /liliCollaborate with clinicians to translate computational findings into clinical trial design, patient selection criteria, and endpoint development; /liliContribute to the group's publication output and present findings at international conferences. /li /ulh3Requirements /h3h3Minimum qualifications /h3ulliMSc or PhD in computational biology, bioinformatics, computer science, biomedical engineering, physics, statistics, or a related quantitative field; /liliStrong Python programming skills and experience developing reproducible data-analysis workflows; /liliExperience working with complex, high-dimensional biomedical or imaging datasets, including data quality control and validation; /liliAbility to explain technical methods and results clearly to both computational and clinical collaborators; /liliEvidence of independent quantitative research, such as a thesis, publication, preprint, software project, or substantial analytical contribution. /li /ulh3Preferred qualifications /h3ulliExperience with medical image analysis, retinal imaging, or ophthalmic data; /liliExperience with survival analysis frameworks, mixed-effects modeling, or Bayesian approaches to disease progression; /liliExperience 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; /liliExperience with statistical modelling or machine learning applied to longitudinal, repeated-measures, or time-to-event data; /liliExperience with high-dimensional data analysis (e.g. embeddings, single-cell, or omics data), including dimensionality reduction, clustering, and phenotyping. /li /ul #J-18808-Ljbffr
Research Associate/Bioinformatician Arbeitgeber: 1000scholars
Das Max-Planck-Institut für Geoanthropologie in Jena bietet eine herausragende Arbeitsumgebung für PhD-Forscher, die sich mit quantitativen, historischen und archäologischen Stadtforschungen beschäftigen. Mit einem starken Fokus auf interdisziplinäre Zusammenarbeit, flexiblen Arbeitszeiten und umfangreichen Weiterbildungsmöglichkeiten fördert das Institut nicht nur die persönliche und berufliche Entwicklung seiner Mitarbeiter, sondern auch ein inklusives und familienfreundliches Arbeitsklima. Die Möglichkeit, an innovativen Forschungsprojekten zu arbeiten und Teil eines globalen Netzwerks von Wissenschaftlern zu sein, macht diese Position besonders attraktiv für engagierte Forscher.
