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 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. For more detailed information about BillionToOne and its groundbreaking work, please visit our website at www.billiontoone.com.
We are looking for a Process Engineering Intern whose academic interests span bioengineering and data science. This role will involve a deep dive into the data infrastructure, metrics, and systems used to support high quality production of cfDNA-based NIPT assays. This internship will be an immersive exploration of data systems in a fast paced, rapidly growing biotech and will provide an opportunity to see first hand how scaling organizations utilize data to inform critical business decisions. The role will require an understanding of molecular techniques and modern sequencing technology. This internship will also provide an excellent opportunity to explore the emerging potential of AI tools and their applications within the biotech sector.
Responsibilities:
- Collaborate with process engineering team members to identify key data requirements for decision-making processes.
- Assist in the redesign and implementation of scalable data infrastructure solutions to support process optimization.
- Analyze complex datasets to identify trends, patterns, and insights that can enhance process efficiency and outcomes.
- Develop data pipelines for the collection, processing, and storage of critical process data.
- Utilize bioengineering knowledge to understand and integrate specific biological data requirements into the infrastructure.
- Support the creation and documentation of standard operating procedures around data handling and analysis.
- Work closely with data scientists to ensure the accuracy and integrity of the data used for predictive models.
- Contribute to the development of dashboards and reporting tools that provide actionable insights to stakeholders.
- Help in the evaluation of new tools and technologies to enhance data infrastructure capabilities.
- Participate in regular team meetings to discuss project progress, challenges, and solutions.
Requirements:
- Currently pursuing a degree in Bioengineering, Data Science, Computer Science, or a related field.
- Foundational knowledge in bioengineering principles and their application in data-driven processes.
- Experience with data analysis tools and languages such as Python, R, or SQL.
- Familiarity with data infrastructure technologies, such as data warehouses, ETL processes, and cloud computing platforms (e.g., AWS, Google Cloud, or Azure).
- Strong analytical skills with the ability to work with large and complex datasets.
- Basic understanding of machine learning and statistical modeling techniques.
- Excellent problem-solving skills and attention to detail.
- Strong written and verbal communication skills to effectively collaborate with team members.
- Ability to work independently and as part of a team in a fast-paced environment.
- Enthusiasm for learning new technologies and applying them in real-world scenarios.
Benefits And Perks:
- Working with a team of ‘rockstars’ who bring out the best in everyone
- Open, transparent culture that includes weekly Town Hall meetings
- The ability to indirectly or directly change the lives of hundreds of thousand patients
- Free daily on-site lunches provided from top eateries
- Latest and greatest hardware (laptop, lab equipment, facilities)
- A variety of perks on campus (state of the art gym, restaurant)
- Free on-site EV charging (compatible with all EVs, including Tesla)
At BillionToOne, we are proud to offer a combination of (1) competitive base pay, and (2) the opportunity for professional growth.
For this position, the base pay rate is: $4,333 per month.
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.
For more information about how we protect your information, we encourage you to review our Privacy Policy.
BillionToOne Menlo Park, California, USA Office
1035 O'Brien Drive, Menlo Park, CA, United States, 94025
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