Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Responsibilities
Lead the scientific development of cutting-edge agentic frameworks for oncology
Architect sophisticated "deep agents" for hypothesis generation, experimental design, and multimodal ML and AI modeling
Innovate scientific methodology by developing new predictive models and causal inference frameworks
Work with Research, Engineering & Data Science teams to develop innovative computational solutions
Collaborate with clinical scientists and pharma partners to define high-value use cases
Requirements
Minimum PhD (or Masters degree with 5+ years of relevant experience)
2+ years of relevant industry or post-doctoral experience involving medicine and AI
Quantitative and computational skills in AI agent based workflows (e.g. Applied Machine Learning, Generative AI, Mathematics, biostatistics)
Biological, medical, translational or drug development knowledge and data (e.g. oncology, RWE, medical science, or clinical drug development)
Expert-level proficiency in Python and orchestration frameworks, specifically LangGraph or similar
Experience building deep agents with complex state management and graphs
Deep knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), function calling, and evaluating non-deterministic LLM outputs
Strong foundation in survival analysis (CoxPH, RSF, NN) and evaluation metrics for oncology models
Experience working with clinical trial or real-world data, clinical guidelines
Track record of success in peer-reviewed publications or proven impact
Benefits
incentive compensation
restricted stock units
medical and other benefits depending on the position
Job title
Senior Scientist II, Applied Machine Learning, Translational Agentic AI
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