Senior Scientist I, Applied Machine Learning and Generative AI, Pharma R&D
Core
Develop algorithms, causal models, and agent-based tools to advance Tempus' platform for pharmaceutical R&D and drug discovery.
Role type
Senior Applied Machine Learning and Generative AI Scientist
Builds
Computational solutions and AI capabilities for pharmaceutical R&D
Domain
Life Sciences / Pharmaceutical R&D / Causal AI
Deliverable
production ML models
Required skills
Causal inference, Generative AI, LLMs, Agentic systems, Foundation models, R, Python, SQL, LangChain, LangGraph, AutoGen, DSPy, Molecular data analysis, Clinical trial data analysis, Real-world data analysis
Preferred skills
Integrative modeling of multi-modal clinical and omics data, Cancer biology, Large transcriptome and NGS data analysis
Responsibilities
Develop and deliver innovative computational solutions with Research, Engineering & Data Science teams; Co-develop solutions with Pharma partner science and clinical teams; Communicate complex technical results and methodologies to diverse external stakeholders; Provide AI guidance and hands-on coaching to computational biologists and RWE scientists.
Seniority
Senior, hands-on IC
