Backed by NEA.
About the role
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD (or Masters degree with 2+ years of relevant experience)
- Plus an additional 2+ years of relevant industry or post-doctoral experience
- Combining: Quantitative and computational skills, with a focus on causal AI, causal inference, and/or explainable AI (e.g. Causal Machine Learning, Generative AI, Mathematics, biostatistics)
- Biological, medical, or drug development knowledge and data (e.g. oncology, RWE, medical science, or clinical drug development)
- Technical/Scientific Skills: Proficient in R, Python, and SQL, with specific expertise in frameworks for agentic orchestration (e.g., LangChain, LangGraph, AutoGen, or DSPy)
- Depp knowledge of machine learning and statistical modeling, with hands-on experience in causal methodologies (e.g., Directed Acyclic Graphs, counterfactual reasoning, and heterogeneous treatment effect estimation)
More about this role
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
The Senior Scientist, Applied Machine Learning and Generative AI, Pharma R&D will perform complex computational analyses and develop algorithms, causal models, and agent-based tools to advance the Tempus platform supporting drug R&D. The ideal candidate will possess strong applied machine learning, causal inference, and generative AI skills, with experience building and applying LLMs, agentic systems, causal frameworks, and foundation models in the life sciences. The candidate will also be proficient in communicating complex findings to various stakeholders.
- Data Expertise: Tempus has one of the largest multimodal patient datasets ever collected, providing a unique opportunity to work with extensive and diverse data. Become an expert in Tempus’...
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