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Data Scientist (Prenatal)

BillionToOne · Menlo Park, CA, United States

External listingfull-timeabout 2 months ago

About The Role

Join BillionToOne, a pioneering company in the prenatal diagnostics space. As a Senior Data Scientist, you will own the entire analytics value chain, from data engineering to analysis and insights delivery. You will work directly with stakeholders across the business, using AI to enhance your work and help colleagues improve their productivity. This is a high-impact, high-autonomy role with a suite of benefits, including paid medical and family leaves, a retirement savings program with company contribution, and a generous equity package.

  • Ingest data from disparate sources into the central data warehouse, build clean and well-tested data models, and deliver analyses, dashboards, and tooling that stakeholders can use directly.
  • Partner with stakeholders across the business to answer high-stakes questions with data, helping the lab improve turnaround time, helping sales identify at-risk accounts and new business opportunities.
  • Build and maintain the central analytical data warehouse that aggregates data from across the organization, while partnering with teams who own their own operational systems.
  • Master's or PhD with 2 year of work experience, OR Bachelor's degree with 4 years of work experience, in data science, analytics engineering, or a related data role. More experience is welcome
  • Excellent communication skills and the ability to partner directly with non-technical stakeholders to scope problems and deliver useful answers
  • Strong proficiency in SQL and Python (or R) for data manipulation and analysis
  • Hands-on experience using AI tools to enhance your work, and an interest in helping others do the same
  • Comfort working with messy, disparate data sources and the judgment to know when to clean, when to re-model, and when to push upstream
  • A strong sense of ownership: you are comfortable working directly with stakeholders and treat data quality and stakeholder outcomes as part of your job
  • Experience working with clinical, healthcare, or other regulated data
  • Familiarity with any of the tools we use is a plus: dbt, Airflow, Tableau, Stitch, Hightouch, Cursor, Claude, ChatGPT, AWS (S3, Batch, RDS, MWAA), and Clarity
  • Familiarity with bioinformatics, molecular diagnostics, or the broader healthcare landscape — including the lab sales cycle, prior authorization, and reimbursement — is also a plus, as is a background in the biosciences

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