Senior Scientist, Computational Drug Discovery

Tempus AI; New York (NY); On-site; USD 145,000 - 190,000; Full time

Job summary

Tempus' platform unites clinico-genomic data to provide real-time insights for physicians, enabling precise treatment decisions and accelerated drug discovery. We seek a Senior Scientist II to develop computational methods for target discovery, leveraging PDOs and multimodal data across R&D and clinical labs.

The role requires leadership, strong publication records, and the ability to communicate complex results to internal and external stakeholders. Collaborative, client-facing work is expected.

Qualifications

• PhD with 4+ years of work experience leveraging genomic and multimodal data with machine learning approaches to address questions in complex diseases, especially cancer.
• Proficient in R, Python, and SQL. Strong understanding of Cancer, Genomics, and/or Immunology.
• Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
• Leadership: Multidisciplinary project team leadership experience and a demonstrated ability to lead complex projects.
• Education: PhD in a quantitative discipline (e.g., Bioinformatics, Computational Biology, Data Science) or Life Sciences with a strong computational publication record.

Responsibilities

• Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from the Tempus multimodal data platform.
• Work closely with cross-functional teams across R&D and the broader Tempus organization, including product engineering, clinical genomics labs, data science, and medical teams.
• Communicate scientific and technical plans and outcomes to a cross-functional group of project and senior leadership stakeholders, both internal and external partners.
• Present scientific findings clearly and meaningfully to diverse sets of external stakeholders and non-technical audiences.
• Author abstracts, posters, and peer-reviewed publications to illustrate the value of multimodal analysis and AI in drug discovery.

Skills

R

Python

SQL

Genomics

Immunology

ML models

Communication

Leadership

Education

PhD in a quantitative discipline

Tools

Pandas

NumPy

SciPy

Scikit-learn

Jupyter Notebooks

RStudio

tidyverse

ggplot

Git

Docker

AWS

R package development

Job description

Tempus' platform unites clinico-genomic data to provide real-time insights for physicians, enabling precise treatment decisions and accelerated drug discovery. We seek a Senior Scientist II to develop computational methods for target discovery, leveraging PDOs and multimodal data across R&D and clinical labs.

The role requires leadership, strong publication records, and the ability to communicate complex results to internal and external stakeholders. Collaborative, client-facing work is expected.