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Top Data & Analytics Jobs in Chicago, IL
The Generative AI Summer Analyst internship involves applying academic knowledge to real-world projects, collaborating on AI Agent development, conducting market research for Gen AI initiatives, and creating content to promote Tempus' AI solutions. The role fosters professional growth in a fast-paced environment.
The Senior Data Analyst will identify patient cohorts for oncology data licensing, generate analytics for customer insights, integrate new data sources, maintain documentation, and mentor team members within a fast-paced, client-facing environment.
The Senior Data Scientist will lead analyses for real-world evidence studies, collaborating with pharmaceutical partners to improve data quality and provide strategic insights. Responsibilities include data interpretation, client communication, and staying updated on oncology methodologies.
As a Summer Intern, you will apply knowledge from your studies to work on real-world projects, enhance scientific and technological fields, and collaborate in a fast-paced environment. Your tasks will include analyzing genetic data and developing reports using R, with a focus on deriving actionable insights from complex datasets.
As a Biostatistics Summer Associate, you will apply classroom skills to real-world projects in a collaborative setting. Responsibilities include assessing real-world data responses and constructing external control arms using patient-level data. You'll gain professional development experience and have the opportunity to influence the healthcare industry.
As a Cell Imaging Summer Associate at Tempus, you will apply your advanced education in computational biology or a related field to real-world projects, focusing on developing computer vision models for high throughput microscopy and digital pathology. You'll collaborate with teams, gain professional development, and make impactful contributions in a hybrid work environment.
Lead the development of Tempus’ multi-modal molecular data model. Responsible for managing cross-functional projects and building scalable data systems. Collaborate with engineers and researchers to design data models and create documentation. Deliver insights from NGS and clinical data, while fostering an innovative and inclusive environment.
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