Senior Scientist, Oncology

BillionToOne

Menlo Park, CA, United States
Base: $139,340 - $160,777; bonus/equity: generous ...
On-site
Genomic data
Oncology biology
Clinical data science
BillionToOne is seeking a Senior Scientist in Oncology to leverage genomic and clinical datasets, focusing on AI and machine learning to enhance precision medicine. The role involves developing analytical models and AI tools that support clinical decision-making in oncology, contributing to life-changing diagnostics

Job Summary

  • The scientist will develop models and analytical approaches that transform genomic and clinical data into actionable insights for research, clinical decision support, and future data-driven products.
  • Develop AI-powered tools that enhance the clinical utility of BillionToOne’s diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results.
  • BillionToOne offers a total compensation package of $251,855 per year, including a base pay range of $139,340 - $160,777 per year, generous equity options, a corporate bonus program, and industry-leading company benefits.

Matching Summary

Match Score: 85

BillionToOne is seeking a Senior Scientist in Oncology to leverage genomic and clinical datasets, focusing on AI and machine learning to enhance precision medicine. The role involves developing analytical models and AI tools that support clinical decision-making in oncology, contributing to life-changing diagnostics.

Salary

Base: $139,340 - $160,777; Bonus/Equity: generous equity options offering, corporate bonus program; Benefits: industry leading company benefits

Skills & Requirements

Must-have

  • genomic data
  • oncology biology
  • clinical data science
  • AI and machine learning
  • Python and modern ML frameworks
  • real-world clinical datasets
  • genomic sequencing results
  • real-world medical records

Nice-to-have

  • literature discovery
  • variant interpretation
  • clinical trial tracking
  • guideline tracking
  • large language models (LLMs)
  • retrieval-based AI systems

Key Requirements

  • PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field
  • Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets
  • Experience working with oncology real-world datasets
  • Experience integrating genomic sequencing data with clinical outcomes data
  • Track record of research publications or applied AI systems in healthcare or life sciences

Work Rights

Not specified

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