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The role involves designing generative modeling approaches, collaborating with experimental teams, and developing models to understand and control cellular decision-making for drug discovery.

Lead Relation's Data Platform team by designing a unified data strategy, optimizing data workflows, and ensuring data governance, while developing a high-performing engineering team.

As a Research Engineer, you will develop and scale ML systems, improve workflows, and collaborate with diverse teams in drug discovery.

The Senior Data Scientist will model DNA sequences and genetic variation using computational approaches, integrate datasets to support disease understanding, and communicate findings to stakeholders.

The Machine Learning Scientist will apply advanced ML techniques to DNA data, train models for variant interpretation, and collaborate with scientists to validate hypotheses.

The job involves supporting computational drug discovery for antibodies, evaluating candidates, integrating insights, and collaborating with teams.

As a Platform Engineer, develop and manage Kubernetes-based cloud infrastructure, enhance CI/CD pipelines, and collaborate with Machine Learning teams to optimize performance and reliability.

The Senior Machine Learning Scientist will develop ML models for single-cell and multiomic data, translating biological insights into therapeutic strategies, collaborating with experimental teams, and shaping the research roadmap.

Develop advanced AI systems for reasoning about biological problems, focusing on LLM-driven models and intelligent agents in drug discovery.