Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
TA
Hybrid Senior Scientist II, Applied Machine Learning, Translational Agentic AI
Posted 44 minutes ago
About the role
- 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
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