RWE Data Scientist II: Oncology Insights & AI

Tempus AI; Redwood City (CA); Remote; USD 100,000 - 140,000; Full time

Job summary

Tempus is seeking a highly motivated RWE Data Scientist II to lead observational studies and derive insights from complex real-world oncology data. You will apply time-to-event methods, survival analysis, and cutting-edge AI tools within a fast-paced RWE framework.

You will collaborate with pharmaceutical partners, contribute to methodological advancements, and help scale analysis pipelines while communicating results to diverse stakeholders across the organization.

Qualifications

• PhD or Master’s degree in epidemiology, biostatistics, data science or public health-related field.
• 2+ years of relevant work experience if Master’s degree; additional doctoral experience acceptable.

Responsibilities

• Partner with pharma collaborators to execute RWE research plans using tempus platform.
• Lead derivation of complex real-world endpoints from clinical data.
• Contribute to methodology and platform improvements for real-world studies.
• Incorporate AI/LLM-based workflows to accelerate data analysis and coding tasks.
• Interpret results and communicate findings to technical and non-technical stakeholders.
• Collaborate across product, oncology, and data science teams to improve data quality and tools.

Skills

Observational data

Survival analysis

R

SQL

ML/LLM tooling

Code review

Data analysis pipelines

Education

PhD

Master’s degree with 2+ years experience

Tools

R

SQL

Job description

Tempus is seeking a highly motivated RWE Data Scientist II to lead observational studies and derive insights from complex real-world oncology data. You will apply time-to-event methods, survival analysis, and cutting-edge AI tools within a fast-paced RWE framework.

You will collaborate with pharmaceutical partners, contribute to methodological advancements, and help scale analysis pipelines while communicating results to diverse stakeholders across the organization.