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À propos
Develop complex agentic workflows and build agents for long-horizon planning and reasoning Leverage oncology foundation models to create predictive algorithms integrating diverse data types Collaborate with clinical scientists and pharma partners to identify high-value use cases for drug R&D
Required qualifications
PhD or Master's degree with 3+ years of relevant experience in a related field Proficiency in Python and experience with agentic frameworks, particularly LangGraph Strong foundation in survival analysis and evaluation metrics for oncology models Experience working with clinical trial data and knowledge of oncology and clinical drug development Proven track record of success demonstrated through peer-reviewed publications or impactful projects
Compétences linguistiques
- English
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