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The Senior Data Analyst will support partnerships in the Life Sciences industry by identifying patient cohorts, generate analytics, maintain technical processes, mentor team members, and integrate new data sources. This role emphasizes data manipulation, client interaction, and turning raw data into actionable insights for healthcare innovation.
The Senior Scientist in Life Science and Research Analytics will leverage a multimodal database for conducting complex computational analyses to provide actionable insights affecting patient care and drug development. Responsibilities include managing projects, leading teams, communicating scientific findings to stakeholders, and enhancing research methodologies.
The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
The Senior Scientist will lead and execute computational research projects in partnership with biopharmaceutical clients to drive precision medicine. Responsibilities include research design, strategic collaboration, and providing actionable clinical insights, while also supporting junior scientists and presenting findings to stakeholders.
The Senior Data Modeler II will manage an enterprise data model, integrating clinical data across multiple domains, authoring documentation, implementing solutions for data transformation, and monitoring data quality while collaborating with clinicians, data scientists, and engineers.
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