Data Scientist, Prenatal

A Rare Opportunity to Shape the Future of Genomics Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today. Our scientists, engineers, sales executives, and visionaries are 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, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments. If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong. We are looking for a Data Scientist to join our Prenatal data team. At BillionToOne, our data scientists are full-stack: the team contributes across the entire analytics value chain. In this role, you will partner with more senior teammates to wear a data engineering hat to land data into our central warehouse, an analytics engineering hat to model, document, and test it, and a data science hat to analyze it, build dashboards, and deliver insights that drive decisions across the company. This is a high-impact role with strong opportunity for growth. You will work alongside senior team members to support stakeholders across the business — commercial teams, lab operations, clinical and quality teams, bioinformatics, and executive leadership — building those relationships over time. AI is woven through how we work: you will use it daily to accelerate your own analyses and engineering, help build HIPAA-compliant AI-powered analysis workflows for the team, and help colleagues across the organization adopt AI to do their best work. Responsibilities: Contribute across the full analytics stack for Prenatal — with guidance and support from senior team members — including ingesting data from disparate sources into our central data warehouse, building clean and well-tested data models, and delivering analyses, dashboards, and tooling that stakeholders can use directly. Partner with stakeholders across the business to answer high-stakes questions with data — for example, helping the lab improve turnaround time, helping sales identify at-risk accounts and new business opportunities, supporting clinical affairs with data on samples and outcomes, supporting business metrics around new product launches, and informing executive decisions on growth and strategy. 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 (e.g., Clarity, bioinformatics pipelines). Use AI tools to accelerate your own work, build HIPAA-compliant AI-powered analysis workflows, and help colleagues across the company adopt AI to improve their productivity. Develop and maintain Tableau dashboards and self-serve analytics that turn data into action for clinical, commercial, and operational teams. Qualifications: 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. Strong proficiency in SQL and Python (or R) for data manipulation and analysis. Comfort working with messy, disparate data sources and the judgment to know when to clean, when to re-model, and when to push upstream. Experience working with clinical, healthcare, or other regulated data. Hands-on experience using AI tools to enhance your work, and an interest in helping others do the same. Excellent communication skills and the ability to partner directly with non-tec