Senior Scientist: Computational Drug Discovery & AI Analytics

Tempus AI; Redwood City (CA); Hybrid; USD 145,000 - 190,000; Full time

Job summary

Tempus is seeking a Senior Scientist II to join the Computational Discovery Science team in California. You will identify novel cancer targets by integrating genomic, imaging, and clinical data, applying in silico methods to Tempus real‑world data and organoid models.

You will lead translational projects, collaborate across R&D and product teams, and communicate findings to diverse audiences, including pharma partners. Strong publication record and leadership experience are essential.

Qualifications

• PhD with strong publication record in bioinformatics, computational biology, data science or life sciences.
• Proficient in R, Python, and SQL; extensive experience with genomic/multimodal data and ML models.
• Excellent written and verbal communication; proven leadership of multidisciplinary projects.

Responsibilities

• Develop computational methods to identify novel cancer targets using multimodal data.
• Collaborate with AI/ML scientists and biologists to advance drug discovery.
• Communicate plans and results to internal leadership and external partners.
• Publish abstracts, posters, and peer‑reviewed papers highlighting multimodal analyses.

Skills

R

Python

SQL

Cancer Genomics

Machine Learning

Education

PhD in quantitative discipline

Tools

R

Python

SQL

Docker

AWS

Jupyter Notebooks

Git

RStudio

tidyverse

ggplot

Job description

Tempus is seeking a Senior Scientist II to join the Computational Discovery Science team in California. You will identify novel cancer targets by integrating genomic, imaging, and clinical data, applying in silico methods to Tempus real‑world data and organoid models.

You will lead translational projects, collaborate across R&D and product teams, and communicate findings to diverse audiences, including pharma partners. Strong publication record and leadership experience are essential.