Senior Scientist, Multimodal Cancer Target Discovery

Tempus; Redwood City (CA); On-site; 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 develop computational methods to identify novel cancer targets using genomic, imaging, and clinical data, leveraging Tempus RWD and PDOs.

You will lead cross-functional projects, communicate results to stakeholders, and publish insights in traditional venues. The role emphasizes collaboration with AI/ML teams and modeling biology, with opportunities to influence drug discovery and

Qualifications

• PhD with 4+ years of work experience leveraging genomic and multimodal data with machine learning to address cancer questions.
• Strong publication record and ability to communicate complex results clearly.
• Experience with client-facing roles and cross-functional collaboration.

Responsibilities

• Identify novel targets for cancer therapeutics by developing computational methods using multi-modal data.
• Lead translational and real-world evidence research projects inside Tempus multimodal platform.
• Communicate plans and findings to internal leadership and external partners; author abstracts and publications.

Skills

Python

R

SQL

Machine learning

Genomics

Immunology

Communication skills

Leadership

Client-facing

Education

PhD in Bioinformatics/Computational Biology/Data Science/Life Sciences

Tools

Pandas

NumPy

SciPy

Scikit-learn

Jupyter Notebooks

RStudio

tidyverse

ggplot

Git

Docker

AWS

Job description

Tempus is seeking a Senior Scientist II to join the Computational Discovery Science team in California. You will develop computational methods to identify novel cancer targets using genomic, imaging, and clinical data, leveraging Tempus RWD and PDOs.

You will lead cross-functional projects, communicate results to stakeholders, and publish insights in traditional venues. The role emphasizes collaboration with AI/ML teams and modeling biology, with opportunities to influence drug discovery and