Research Associate - Computational Biologist

Research Associate - Computational Biologist

Evotec

Goettingen, Munich or Hamburg, Germany

Your Key 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.

Your Profile:

• 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.
• Fluency in English is required.