Bioinformatics Associate, Oncology
BillionToOneMenlo Park, CAPosted 3 April 2026
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 a Bioinformatics Associate, Oncology to join our growing bioinformatics team. The bioinformatics team is responsible for analysis and pipeline development for our Northstar oncology products. Our sample volume is growing extremely quickly. As a Bioinformatics Associate, you will be working with a team of talented bioinformaticians to scale up our analysis pipeline to analyze tens of thousands of samples. The Bioinformatics Associate role is a full-time onsite position in Menlo Park, CA and reports to the Sr. Manager of Bioinformatics, Oncology.
Responsibilities:
Perform analysis of clinical bioinformatics data while maintaining low turnaround time for data delivery
Maintain and develop sophisticated and robust next-generation sequencing analysis pipeline
Collaborate with other teams from CLIA lab, Software Engineering, Quality Assurance, and RD to improve and scale our clinical workflows
Qualifications:
BS or MS in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field
Very strong programming skills in Python
Comfortable working in UNIX command-line environments
Experience deploying code in HPC or cloud computing environments
Strong communication skills
Great attention to detail
Can work in the United States without immediate sponsorship (For applicants on student visas, post-graduation OPT is acceptable)
Nice-To-Haves:
2 years of research or industry experience in biotechnology
Experience with software development in industry and ideally in a regulated environment
Experience with Molecular biology lab techniques (DNA purification, PCR, electrophoresis) or next-generation sequencing library preparation
Experience leading cross-functional projects involving teams of diverse backgrounds
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%)
Free UNITY Complete NIPT testing for employees spouses
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)
Free 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 (compat ... (truncated, view full listing at source)
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