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Responsibilities:
- Contribute analyses to projects discovering novel drug targets, biomarkers and disease subtypes through reverse translation based on multi-omics patient or pre-clinical data.
- Analyze biomedical datasets using classical or novel omics methods and machine/deep learning algorithms.
- Participate in interpretation of results and help design validation strategies with cross-functional teams.
Qualifications:
- MSc/PhD in computational biology, bioinformatics, biology, machine learning, or related field.
- Experience with omics data, NGS pipelines, and integrating multi-omics datasets.
- Good knowledge of molecular and cellular biology, especially in cancer or human diseases.
Culture and Benefits:
- Flexible work organization and informal, friendly environment.
- Opportunity to work with an international team of high technical and scientific backgrounds.
- Team-first attitude, curiosity, and attention to detail valued in a dynamic setting.
Owkin
Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. The company builds K Pro, an AI scientist for pharmaceutical research, and offers a flexible, informal work environment with an international team of high technical and scientific backgrounds.