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

The Senior/Principal Data Scientist will analyze multi-omics data, design statistical models, collaborate on ML tasks, and present findings while shaping research impact in drug discovery.

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 Principal/Senior Data Scientist will lead statistical genetics efforts, analyze large datasets, and integrate genetic insights into drug discovery processes.

Lead statistical and computational genomics efforts, applying machine learning and multi-omics datasets for target identification in drug discovery.

The Data Scientist will analyze multi-omics data to identify drug targets, collaborating with internal teams and scientists to develop computational models and communicate findings.

Develop scalable computational workflows for multi-omics analysis, lead data integration, design statistical models, and communicate findings to stakeholders.

Join Relation as a Data Scientist focused on multi-omics data to apply statistical models and develop computational workflows, impacting drug discovery.

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 Data Engineer will manage pipelines, integrate bioinformatics data, develop ETL workflows, enhance data governance, and promote data usability for non-technical users.

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

The Communications Lead will develop and execute communication strategies internally and externally, craft messaging, manage media relations, and enhance Relation's visibility in biotech and AI-driven R&D.