Senior Scientist: Applied ML & Generative AI for Drug R&D

Tempus; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Benefits package

Job summary

Tempus is seeking a Senior Scientist, Applied Machine Learning and Generative AI, Pharma R&D to perform complex analyses and develop causal and agentic models. You will contribute to the Tempus platform for drug R&D, collaborating across research, engineering, and data science teams to deliver innovative computational solutions.

Ideal candidates possess strong applied ML, causal inference, and generative AI skills, with experience in LLMs, agentic systems, and foundation models in life

Qualifications

• Minimum PhD or Masters with 2+ years in industry or post‑doc.
• Strong background in causal AI, causal inference, and explainable AI.
• Experience with LLM‑driven agent architectures, prompt engineering, and RAG.

Responsibilities

• Advance Tempus platform for pharma R&D with ML and AI capabilities.
• Collaborate with Research, Engineering & Data Science teams across Tempus.
• Communicate complex results to diverse stakeholders.

Skills

Applied ML

Causal AI

Generative AI

Scientific communication

Education

PhD

MS + 2+ years

Tools

R

Python

SQL

LangChain

LangGraph

AutoGen

DSPy

Job description

Tempus is seeking a Senior Scientist, Applied Machine Learning and Generative AI, Pharma R&D to perform complex analyses and develop causal and agentic models. You will contribute to the Tempus platform for drug R&D, collaborating across research, engineering, and data science teams to deliver innovative computational solutions.

Ideal candidates possess strong applied ML, causal inference, and generative AI skills, with experience in LLMs, agentic systems, and foundation models in life