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Lead product strategy and development for AI solutions in healthcare. Collaborate with design, engineering, and AI teams to deliver impactful clinical tools.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

Manage study start-up and maintenance, ensuring compliance and supporting clinical site interactions. Oversee team activities and maintain communication with stakeholders.

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 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.

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

The Medical Science Liaison will support Tempus by educating healthcare professionals on oncology products and gathering insights for future developments, focusing on molecular oncology and genomic profiling.

The Medical Science Liaison will educate healthcare providers on Tempus oncology products, support commercial objectives, and maintain KOL relationships.