Research Associate Intern

BillionToOneMenlo Park, CAonsiteSalary not postedView the original posting at BillionToOne ↗

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. The Research Associate Intern position at BillionToOne is exceptionally rare at the undergraduate or early-career level. At BillionToOne, you will do much more than simply run routine protocols. Your work will shape the development of high-impact molecular diagnostic products that are actively changing patient outcomes in both oncology and prenatal medicine. This is your chance to contribute to building novel molecular tests that help patients from day one. You will work alongside and be mentored by scientists with interdisciplinary expertise across molecular biology, genomics, bioinformatics, and quantitative modeling. You will have the chance to use cutting-edge molecular techniques, next-generation sequencing, and robotic tools to move assays from research prototypes to commercially available products run at large scale on real patient samples in our clinical lab. Whether your ambition is to grow here at BillionToOne or ultimately pursue graduate studies, this position would be a solid foundation for your scientific career. The Research Associate intern is an on-site position in our Menlo Park, CA office. Candidates who expect to graduate before Fall 2027 or who have already graduated are encouraged to apply to our full-time Research Associate position . Who We’re Looking For: Strong statistical and quantitative skills: You think rigorously about data. You understand the difference between signal and noise, appreciate the importance of statistical power, and bring quantitative reasoning to every problem. Meticulous attention to experimental detail: You understand that the quality of an experiment determines what we can learn from it. You keep rigorous records, design careful controls, and take pride in work that others can rely on and build upon. Ambition to make a difference now: You aren’t here to punch the clock. You want to understand why things work, push the boundaries of what’s known, and do what it takes to see your contributions show up in products that help real patients. Excellent communication in a fast-paced, collaborative environment: We move quickly and we move together. You share findings clearly and proactively, ask questions early rather than late, and work seamlessly across scientists, engineers, and cross-functional teams to keep projects moving. Responsibilities: Design, execute, and troubleshoot experiments and assays under the guidance of Senior Scientists Learn analytical and computational methodologies to analyze results under the guidance of Senior Scientists Present scientific findings both verbally at group meetings and via internal written reports Document experimental details and results Qualifications: Must be enrolled in an undergraduate or master’s degree program during Fall 2027 Anticipated BS or MS in Bioengineering, Molecular and Cell Biology, Microbiology, Biophysics, Biochemistry, or related field Independent research experience An ability to quickly learn mathematical, analytical, and experim

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