Research Associate in Computational Biology focusing on large-scale omics data analysis within a collaborative environment at Evotec. Engaging in target discovery and clinical applications across multiple disease areas.
Responsibilities
Conduct exploratory analyses of multidimensional clinical datasets, with a focus on transcriptomics and high-resolution omics data.
Generate hypotheses and prioritize target candidates across various disease indications.
Perform data-driven patient stratification from large, heterogeneous cohorts.
Collaborate at the interface of dry and wet lab teams to support the development of novel methods for analysing patient-derived multi-omics data.
Analyse, interpret, and visualize complex datasets in close collaboration with computational scientists, bioinformaticians, and biologists.
Present findings clearly and effectively to internal project teams and external stakeholders.
Requirements
PhD or Master’s degree (with several years of relevant experience post-graduation) in life sciences, bioinformatics, computational biology, or a related field.
Solid understanding of transcriptomics, single-cell or spatial sequencing; familiarity with proteomics, metabolomics, or genetics is a plus.
Strong biological knowledge in one or more disease areas.
Proficiency in R and/or Python for high-dimensional omics data analysis.
Experience with machine learning or AI-based tools is a strong advantage.
Familiarity with ontologies, databases, or knowledge graphs is beneficial.
Excellent communication skills and the ability to collaborate effectively in interdisciplinary teams.
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