Perform complex computational analyses and develop algorithms and agent-based tools to advance the Tempus platform
Become an expert in Tempus’ multimodal patient datasets
Drive continual improvement of the Tempus platform for pharmaceutical R&D
Work with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions
Co-develop solutions with Pharma partner science and clinical teams
Skillfully navigate client interactions and communicate complex technical results
Empower computational biologists and RWE scientists through targeted AI guidance
Continuously immerse yourself in the latest industry trends in machine learning and AI

Requirements

Minimum PhD (or Masters degree with 3+ years of relevant experience)
Additional 3+ years of relevant industry or post-doctoral experience
Quantitative and computational skills in AI agent-based workflows (e.g. Applied Machine Learning, Generative AI, Mathematics, biostatistics)
Biological, medical, or drug development knowledge (e.g. oncology, RWE, medical science, or clinical drug development)
Proficient in R, Python, and SQL with expertise in frameworks for agentic orchestration (e.g., LangChain, LangGraph, AutoGen, or DSPy)
Deep knowledge of LLM-driven agent architectures
Applicable knowledge of machine learning and statistical modeling
Awareness of the uses of machine learning in molecular/biomedical data analysis or drug discovery/development
Experience working with clinical trial or real-world data, and clinical guidelines
Track record of success in peer-reviewed publications
Excellent written and verbal communication skills

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

computational analysesalgorithmsagent-based toolsApplied Machine LearningGenerative AIMathematicsbiostatisticsRPythonSQL

client interactionscommunicationempowermentcollaboration

PhDMasters degree