Senior Scientist - Remote Target Discovery in Oncology

Tempus AI

Redwood City (CA)

Presencial

USD 145 000 - 190 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Tempus AI is seeking a Senior Scientist II to advance precision medicine by developing computational methods for drug discovery, leveraging clinico-genomic data and patient-derived organoids, in collaboration with AI/ML teams.

The role requires leadership, strong communication, and the ability to present results to pharma partners; publication activity expected; strong background in genomics and cancer biology.

Qualificações

  • PhD in a quantitative field or Life Sciences with strong computational publications.
  • 4+ years applying genomic and multimodal data with ML to cancer or complex diseases.
  • Proficiency in R, Python, SQL; strong bioinformatics/statistics background.
  • Excellent written and verbal communication; ability to lead multidisciplinary projects.
  • Leadership experience in cross-functional teams.

Responsabilidades

  • Lead translational or real-world evidence research leveraging Tempus multimodal data.
  • Collaborate with R&D, product engineering, clinical genomics, and data science teams.
  • Communicate plans and findings to internal and external stakeholders; publish abstracts.
  • Contribute to peer-reviewed publications and scientific presentations.

Conhecimentos

R, Python, SQL
Genomics, Cancer biology
ML / statistical modeling on genomic数据
Leadership in multidisciplinary proj
Science communication

Formação académica

PhD in Bioinformatics / Computational Biology / Data Science or Life Sciences with computational publications

Ferramentas

Pandas
NumPy
SciPy
Scikit-learn
Jupyter Notebooks
RStudio
tidyverse
ggplot
Git
Docker
AWS

Descrição da oferta de emprego

Tempus AI is seeking a Senior Scientist II to advance precision medicine by developing computational methods for drug discovery, leveraging clinico-genomic data and patient-derived organoids, in collaboration with AI/ML teams.

The role requires leadership, strong communication, and the ability to present results to pharma partners; publication activity expected; strong background in genomics and cancer biology.

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