Scientist/Senior Scientist RWD (Real-World Data) & Clinical AI, Oncology

BillionToOne is seeking a Scientist or Senior Scientist focused on Real-World Data (RWD) and Clinical AI to help unlock insights from our rapidly growing dataset of genomic profiles and real-world clinical data.

This role sits at the intersection of AI, genomics, oncology research, and clinical data science. 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.

A unique aspect of this role is the opportunity to work with BillionToOne’s proprietary dataset, combining genomic sequencing results from our Northstar oncology platform with real-world medical records. Leveraging this rich dataset, the scientist will generate clinically meaningful insights and real-world evidence (RWE) to improve treatment decisions and advance precision oncology. This role will report to the Chief Product Officer.

Key Responsibilities

Leverage BillionToOne’s integrated datasets of Northstar genomic sequencing results and real-world clinical data from patients we serve to generate clinically meaningful insights and real-world evidence (RWE). Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes, supporting internal research and improving how genomic test results inform clinical decision-making.

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 to assist oncologists in making more personalized treatment decisions. The role will also build AI tools that support internal scientific operations—such as literature discovery, variant interpretation, and clinical trial or guideline tracking—while helping lay the foundation for future real-world data products leveraging BillionToOne’s unique genomics and clinical dataset for pharmaceutical and research partners.

Requirements

• PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field is required.
• Deep understanding of genomic data, oncology biology, and clinical medical data.
• Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets.
• Strong programming and data science skills (Python and modern ML frameworks).
• Experience working with real-world clinical datasets (EHR, clinical records, registries, or similar).
• Ability to analyze and integrate multimodal biomedical datasets, including genomics, clinical data, and biomedical literature.
• Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups.

Experience:

• Experience working with oncology real-world datasets.
• Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction.
• Experience integrating genomic sequencing data with clinical outcomes data.
• Track record of research publications or applied AI systems in healthcare or life sciences.