BillionToOne is a next-generation molecular diagnostics company dedicated to developing powerful and accurate diagnostic tests that are accessible to all. Our innovative QCT molecular counting technology significantly enhances the resolution of disease detection using cell-free DNA by over a thousandfold. This groundbreaking technology is integral to our product offerings, including one of our flagship products, Unity Complete, the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Leveraging the same molecular counting technology, we've expanded our impact into oncology in 2023 with a pioneering liquid biopsy test, Northstar, that combines treatment selection with monitoring. To date, over 500,000 patients have benefited from our innovative and precise diagnostic tests, and our Annual Recurring Revenue (ARR) has grown from $0 to $125 million in the last ~4 years.

BillionToOne has successfully raised close to $400 million in funding, with a notable $130 million Series D round completed in June 2024, resulting in a company valuation of over $1 billion. This funding has come from prestigious global institutional investors, including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. BillionToOne has recently been recognized by Forbes as one of America's Best Startup Employers for 2024, highlighting the company's exceptional work environment and commitment to innovation.

Our team has grown significantly and we now proudly employ over 400 highly skilled individuals. Despite substantial growth, we have successfully maintained the unique culture that has defined BillionToOne from inception, continuing to cultivate a team that is not only diverse and passionate but also innovative. Headquartered in Menlo Park, California, with an additional facility in Union City, California, BillionToOne remains at the forefront of significant advances in molecular diagnostics, evidenced by the recent announcement of clinical outcomes data for its Unity Fetal Risk Screen and new advancements in cancer diagnostics.

As a Data Scientist Manager at BillionToOne, you will play a key role in leading, analyzing complex genetic data, and developing models that enhance our genetic testing products. You will work closely with cross-functional teams, including bioinformatics, product development, and marketing, to provide data-driven insights that inform strategic decisions. The ideal candidate will have a strong background in data manipulation, statistical analysis, and machine learning, with experience in working with large datasets from various sources.

This role requires a blend of deep technical expertise, leadership skills, and a strong understanding of both scientific research and business fundamentals. The ideal candidate will have a MS or PhD in a relevant field, advanced data manipulation skills in R or Python, proficiency in SQL, and experience working with various data formats. Additionally, this role will involve close collaboration with cross-functional teams to inform decision-making and drive growth.

Responsibilities

Lead and mentor a team of data scientists and analysts, fostering a collaborative and innovative environment.
Develop and implement data strategies that support the company's genetic testing products and services for bioinformatics and commercial data goals.
Perform advanced data manipulation and analysis using R or Python, ensuring high-quality and reproducible results.
Retrieve, clean, and integrate data from disparate sources such as SQL databases, JSON, CSV, and XLSX files.
Conduct complex data analyses to inform business decisions, focusing on key metrics like revenue, profit, customer acquisition cost, lifetime value, and cohort analysis.
Collaborate with cross-functional teams, including product, marketing, finance, and operations, to provide data-driven insights and recommendations.
Communicate complex data findings in a clear and actionable manner to stakeholders at all levels of the organization.
Stay current with the latest research and advancements in data science and genetic testing.

Requirements

Master’s or PhD in biological sciences, computer science, statistics, mathematics, or a related quantitative field.
Proficiency in data manipulation and analysis using R or Python.
Strong knowledge of SQL for data retrieval and management.
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, and cohort analysis.
Effective communication skills and the ability to work collaboratively with cross-functional teams.
Strong leadership and experience managing technical teams and mentoring and fostering employee growth and development.
Excellent problem-solving and analytical skills.
Ability to work independently and manage multiple projects simultaneously.
Detail-oriented with a commitment to producing high-quality, accurate work.
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.

Nice-To-Haves

1-2 years of data analysis experience working with cross-functional teams in a high-growth company setting.
Knowledge of business fundamentals, including revenue, profit, customer acquisition cost, and lifetime value.
Experience working in a high-growth company setting.

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of up to $265,000 per year, including a base pay range of $165,000 - $200,000 per year.

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.

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