<div class="content-intro"><h2><strong>A Rare Opportunity to Shape the Future of Genomics</strong></h2> <p>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.</p> <p>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.</p> <p>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.</p></div><p>We are looking for a<strong> Data Scientist</strong> 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.</p> <p>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.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>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.</li> <li>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.</li> <li>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).</li> <li>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.</li> <li>Develop and maintain Tableau dashboards and self-serve analytics that turn data into action for clinical, commercial, and operational teams.</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li>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.</li> <li>Strong proficiency in SQL and Python (or R) for data manipulation and analysis.</li> <li>Comfort working with messy, disparate data sources and the judgment to know when to clean, when to re-model, and when to push upstream.</li> <li>Experience working with clinical, healthcare, or other regulated data.</li> <li>Hands-on experience using AI tools to enhance your work, and an interest in helping others do the same.</li> <li>Excellent communication skills and the ability to partner directly with non-technical stakeholders to scope problems and deliver useful answers.</li> <li>A strong sense of ownership: you are comfortable working directly with stakeholders and treat data quality and stakeholder outcomes as part of your job.</li> </ul> <p><strong>Nice-To-Haves:</strong></p> <ul> <li>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.</li> <li>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.</li> </ul> <p><strong>Benefits And Perks:</strong></p> <ul> <li>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</li> <li>Open, transparent culture that includes weekly Town Hall meetings</li> <li>The ability to indirectly or directly change the lives of hundreds of thousands patients</li> <li>Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%</li> <li class="li1">Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)</li> <li>Supplemental fertility benefits coverage</li> <li>Retirement savings program including a 4% Company match</li> <li>Increase paid time off with increased tenure</li> <li>Latest and greatest hardware (laptop, lab equipment, facilities)</li> <li>Free daily on-site lunches provided from top eateries</li> <li>A variety of perks on campus (state of the art g