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The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Support Tempus' oncology data licensing by identifying patient cohorts, generating analytics, and maintaining technical processes. Mentor team members and integrate new data sources.

The Sr. Integration Analyst facilitates healthcare data integration, works on EHR interoperability, analyzes clinical data, and ensures compliance with data standards and regulations.

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

The Data Scientist I will engage with clients to solve scientific problems, guide them through platform usage, and enhance client experience through documentation and training.

Lead the Developer Experience team to enhance internal tools that boost developer productivity, focusing on API-driven design and integrating generative AI solutions.

The Senior Scientist will lead research projects for biopharma partners, integrating data analysis and providing insights to support drug development decisions.

The Senior Data Scientist will design RWE studies, analyze data, present findings, collaborate across teams, and ensure compliance with regulations.

As a Senior Data Scientist, you will evaluate and validate AI models, perform statistical analyses, and communicate findings to stakeholders while collaborating cross-functionally.

The GenAI Solutions Engineer collaborates with sales to identify use cases for Generative AI, design and implement solutions, build prototypes, and guide clients in leveraging AI technologies for enhanced healthcare operations.