Research Associate

BillionToOne
Menlo Park, CA$74k – $84kPosted 26 March 2026

Tech Stack

Job Description

Ready to redefine what's possible in molecular diagnostics? 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. With over 700 employees, half a million patients helped, and one of the most successful IPOs in medical diagnostics history behind us, we're just getting started. 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 an interdisciplinary Research Associate to perform experiments and assays under the guidance of Senior Scientists. The Research Associate is an on-site position in our Menlo Park, CA office. Responsibilities: Perform experiments and assays under the guidance of Senior Scientists Learn analytical and computational methodologies and analyze the results under the guidance of Senior Scientists Assist Senior Scientists in assay development Keep accurate and meticulous records of experimental details and results Prepare biological samples and reagents to accelerate the RD process Manage, organize, and support lab operations Requirements: BS or MS in Molecular and Cell Biology, Microbiology, Biophysics, Biochemistry, or related field 1-2 years of research experience (either during BS/MS or afterwards) Previous experience with standard molecular biology techniques (in particular, extensive experience with PCR, electrophoresis, DNA purifications) An ability to quickly learn mathematical, analytical, and experimental concepts High mathematical and statistical aptitude (e.g., you find GRE math section to be extremely easy) Great attention to detail Nice-To-Haves: Start-up experience Knowledge of medical genetics Experience in a cell-free DNA setting Experience with next-generation sequencing library preparation Experience with computational analysis in R, Python, or other programming language Benefits And Perks: 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 Open, transparent culture that includes weekly Town Hall meetings The ability to indirectly or directly change the lives of hundreds of thousands patients Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80% Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%) Supplemental fertility benefits coverage Retirement savings program including a 4% Company match Increase paid time off with increased tenure Latest and greatest hardware (laptop, lab equipment, facilities) Daily on-site lunches provided from top eateries 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 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 leav ... (truncated, view full listing at source)
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