AI Research Engineer focused on building systems around research models, defining the AI roadmap, building retrieval, memory, and evaluation systems, and shipping them into production.
Lead actuarial and analytics advisor for US-based health plan and provider clients, shaping risk strategies and driving business growth in managed care and value-based care.
Locations (3)
Chicago, Illinois, United States
San Francisco, California, United States
Los Angeles, California, United States
Compensation
The salary range for this position (intended for U.S. applicants) is $235,000-$255,000 annually.
Responsibilities
Lead actuarial and analytics advisory for US-based clients
Shape client risk strategies for value-based care and ACO programs
Translate complex actuarial analyses into actionable recommendations
Lead executive-level client meetings and presentations
Direct design and review of models for value-based contracts
Take on the CEO’s highest-priority problems directly – strategic projects, market research and competitive work, financial analysis, and cross-functional execution
Identify problems, develop solutions, and execute them; often working on multiple initiatives
Build and own the models and analyses that inform major company decisions
Collaborate with and move fluidly across various departments as business priorities shift
Help recruit, ramp, and manage the associates who join after you
Builds and maintains analytical foundation to support CAA’s plastics strategy, focusing on film & flexible plastics and PET thermoforms.
Compensation
Pay Rate: Based on a variety of factors in accordance with applicable law including the successful candidate’s relevant experience, skills, knowledge, and experience.
Responsibilities
Work in collaboration with other PPO and state teams to implement actions, trials, or other measures designed for ensuring end market viability and compliance to Responsible End Markets (REMs).
Develop datasets for all covered plastics.
Research virgin resin indices versus recycled resin pricing.
Data mine plastics generation, recycling, contamination, and end-market data from public and proprietary sources.
Incorporate new pilot, surveys, and research data into centralized databases.
Requirements
Bachelor's degree in analytics, engineering, sustainability, or related field
Je traint en evalueert machine-learningmodellen op echte ziekenhuisdata en ontwerpt impactanalyses om de klinische waarde van onze producten te verbeteren.
Compensation
een stagevergoeding van €500 per maand
Responsibilities
Train en evalueer machine‑learningmodellen op echte ziekenhuisdata
Ontwerp en voer impactanalyses uit die de klinische waarde van onze producten laten zien en verbeteren
Werk samen met clinici om hun werkprocessen te begrijpen en vertaal dit naar modelkeuzes
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