Translational Research Scientist, Oncology Menlo Park, CA

Translational Research Scientist, Oncology Ready to redefine what's possible in molecular diagnostics?

Join a team of brilliant, passionate innovators who wake up every day determined to transform healthcare. At Billion To One , we've built something extraordinary—a culture where transparency fuels trust, collaboration drives breakthroughs, and every voice matters in our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we strive to build products that are 10x better than anything that exists today.

Our people are our greatest asset: talented scientists, engineers, sales professionals, and visionaries united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion—every innovation you contribute helps remove fear of unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help build the future of precision medicine, this is where you belong.

We are looking for a Translational Research Scientist, Oncology to join a fast-growing team. This person will be responsible for bridging the gap between our cutting‑edge molecular assays and clinical outcomes. You will own the analysis of clinical data, develop sophisticated statistical models to validate our Northstar oncology products, and play a pivotal role in the design and execution of clinical studies.

The Translational Research Scientist role is a full‑time onsite position and reports to the Associate Director of Oncology Translational Research.

Responsibilities:

• Clinical Data Orchestration: Lead the cleaning, preprocessing, and integration of complex clinical datasets with molecular informatics to ensure high‑quality inputs for downstream analysis.
• Statistical Modeling: Develop and implement robust clinical‑statistical models, including Cox Proportional Hazards (Cox PH), Kaplan‑Meier estimates, and logistic regression, to evaluate clinical utility and patient outcomes.
• Clinical Study Support: Provide data‑informed recommendations for the design and analysis of clinical studies, ensuring protocols are optimized to demonstrate the validity of our oncology assays.
• Insights Generation: Analyze assay performance within clinical cohorts and contribute to high‑impact publications and regulatory submissions that establish the standard of care.
• Cross‑Functional
  
  Collaboration:
  
  Partner with R&D scientists to translate laboratory breakthroughs into clinical insights and collaborate with clinical trial operations to monitor study progress.
  
  Partner with numerous internal and external teams to drive scientific results
• Communication: Present complex statistical findings and clinical insights to internal stakeholders, clinical investigators, and at scientific conferences.

Qualifications:

• 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.

Nice‑To‑Haves:

• Experience in a fast‑paced start‑up environment.
• Experience working in a regulated environment (MolDX or FDA‑regulated study designs).
• Familiarity with clinical data standards (e.g., CDISC/SDTM).
• Experience with SQL and cloud‑based data environments (S3/AWS/GCP).
• Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients.
• Open, transparent culture that includes weekly Town Hall meetings.
• The ability to indirectly or directly change the lives of hundreds of thousands…