Senior Data Scientist

West Menlo Park, California, United States

Full Time Mid-level / Intermediate
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Do you want to help bring prenatal and oncology diagnostics into clinical practice and improve the lives of millions of patients?

BillionToOne, one of top Y Combinator companies (with $85M funding from top institutional investors & 300% YoY growth), is currently seekinga Senior Data Scientist. At BillionToOne, you'll tell data-driven narratives that empower decisions across core functions of the company. On any given day you might work with Process Engineering to help optimize the clinical laboratory supply chain; determine an optimal strategy for placement of field sales representatives with Commercial Operations; help define data warehousing requirements with Software Engineering; A/B test patient and physician outreach campaigns; or identify and communicate key business metrics through a well-designed dashboard. Your problem solving attitude is both scientific and entrepreneurial. You have an intuitive sense of good business questions to ask, can perform exploratory data analysis to bolster or refute your hypotheses, and share your findings with excellent written and data visualization communication skills.


Who You Are:

  • PhD in biostatistics, economics, social sciences, or other quantitative or empirical fields
  • Strong knowledge of data frame manipulation in R or Python
  • Proficiency in SQL
  • Ability to retrieve and munge data from disparate sources and formats (e.g. SQL, JSON, CSV, XLSX)
  • Understanding of business fundamentals such as revenue, profit, customer acquisition cost, lifetime value, cohort analysis


  • 1-2 years of data analysis experience working with cross-functional teams in a high growth company setting
  • Strong understanding of finance


We offer highly competitive salary and benefits combined with a generous equity package. You will be working on interesting problems with extremely high-impact.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job region(s): North America
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