Senior Data Scientist jobs in Chicago, IL

Develop and implement advanced machine learning and statistical solutions to address complex business and design challenges. Independently manage the end-to-end lifecycle of data science projects from discovery and modeling to deployment and stakeholder communication.

The role involves using advanced mathematical and statistical methods to solve business problems and analyze health-related data. Responsibilities include constructing predictive algorithms, conducting experiments, and creating visualizations to support data-driven business decisions.

The Senior Data Scientist will design and validate clinical heuristic rules and maintain Python-based data profiling pipelines. They will also collaborate with cross-functional teams to execute large-scale longitudinal patient cohort pulls and ensure high data quality standards.

The role involves coordinating and optimizing data analysis to drive revenue-generating opportunities and overseeing the development of effective risk management strategies. Responsibilities include deploying advanced AI techniques, mentoring junior staff, and ensuring technical documentation aligns with business requirements.

The Senior Data Scientist provides mathematical modeling and operations research analysis to support strategic planning and complex business decision-making. They develop quantitative models, implement optimization solutions, and communicate findings to management and client teams.

The role serves as a bridge between laboratory scientists and technology teams to define and expand bioassay knowledge graphs. You will conceive, design, and implement data solutions that integrate, visualize, and analyze complex multi-platform research data to accelerate drug discovery.

Lead and execute HEOR and real-world evidence projects in collaboration with external partners and internal stakeholders. Develop analytical infrastructure and translate complex research findings into clinically actionable insights.

Develop and deploy AI-powered features and agents integrated into Salesforce workflows to support investment banking deal teams. Design and maintain robust data pipelines and LLM applications while collaborating with business stakeholders to identify high-impact automation opportunities.

The role focuses on establishing and expanding partnerships with pharmaceutical and biotechnology clients to drive revenue for Tempus data solutions. You will act as a scientific advisor, collaborating with internal teams to develop targeted research and commercial solutions for client accounts.

Lead the design and execution of real-world evidence analyses for pharmaceutical partners to support drug development and clinical research. Collaborate cross-functionally to derive complex endpoints and integrate AI tools to enhance data quality and analytical workflows.

The consultant will design and validate optimization, simulation, and forecasting models to improve supply chain performance. They will also build analytical solutions using Python and SQL while collaborating with stakeholders to define business objectives.