Translational Research Scientist - Oncology

1w1 week ago

BillionToOne

Menlo Park, US · Full-time · $126,721 – $202,625

About this role

Join a team of brilliant, passionate innovators at BillionToOne who wake up every day determined to transform healthcare. We've built a culture where transparency fuels trust, collaboration drives breakthroughs, and every voice matters in precision medicine for oncology diagnostics. Help make life-changing products 10x better and accessible to all.

As Translational Research Scientist in Oncology, bridge the gap between cutting-edge molecular assays and clinical outcomes. Own the analysis of clinical data and develop sophisticated statistical models to validate Northstar oncology products. Play a pivotal role in designing and executing clinical studies.

Lead a fast-growing team reporting to the Associate Director of Oncology Translational Research. Partner with R&D scientists to translate lab breakthroughs into clinical insights and collaborate with clinical trial operations. Work onsite in a full-time position with numerous internal and external teams.

Generate insights from assay performance in clinical cohorts for high-impact publications and regulatory submissions. Present complex statistical findings to stakeholders, investigators, and conferences. Contribute to redefining molecular diagnostics and changing the standard of care.

Requirements

PhD in Biostatistics, Bioinformatics, Cancer Biology, Epidemiology, or a related quantitative field
2+ years of experience working with clinical datasets and conducting survival analysis (specifically Cox PH and time-to-event modeling)
Proven track record of analyzing and cleaning large-scale clinical data from trials or electronic health records (EHR)
Fluency in Python or R for statistical computing and data visualization
Deep understanding of oncology and the clinical applications of NGS-based diagnostics
Excellent communication and presentation skills, with the ability to explain complex statistical concepts to non-experts

Responsibilities

Lead the cleaning, preprocessing, and integration of complex clinical datasets with molecular informatics
Develop and implement robust clinical-statistical models, including Cox Proportional Hazards, Kaplan-Meier estimates, and logistic regression
Provide data-informed recommendations for the design and analysis of clinical studies
Analyze assay performance within clinical cohorts and contribute to high-impact publications and regulatory submissions
Partner with R&D scientists to translate laboratory breakthroughs into clinical insights and collaborate with clinical trial operations
Present complex statistical findings and clinical insights to internal stakeholders, clinical investigators, and at scientific conferences