Jobs / United States / Billiontoone INC
Process Engineering Associate I/II, Oncology
Billiontoone INC · 🇺🇸 Menlo Park, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Billiontoone INC paid sponsored hires in similar roles3 certified filings for “Associate Bioinformatics Engineer” (Molecular and Cellular Biologists) in CA: $111k–$143k, median $113k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Billiontoone INC
The US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Billiontoone INC →
About the role
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. We are looking for a Process Engineering Associate to join our growing superstar Process Engineering team in support of clinical patient testing in our high throughput CLIA lab. The PEA I is responsible for (1) developing new tools for improved clinical workflow efficiency, (2) analyzing process data to monitor and troubleshoot our high-throughput assays, 3) identifying root causes of recurring errors with proper documentation to enable long term corrective actions. This role will enable an individual to gain both deep and broad experience in the areas of process engineering, data analysis, experimental design, and automation. This position will also allow time to apply knowledge of coding languages like python and R to real world problems encountered within high paces and dynamic clinical laboratories. This is considered an onsite role and will require the majority of days to be spent in the Menlo Park office. Responsibilities: • Apply sound engineering practices to scale, optimize, and improve molecular biology methods. • Conduct experiments to identify, isolate, and confirm root causes of process errors in our high-throughput molecular biology lab. • Develop methods to compile and analyze large amounts of process data to assess for process stability, trending, and areas for improvement. • Develop and implement software tools to aid in efficient sample processing within the clinical laboratory. • Develop, implement, and use software tools to quantitatively analyze process efficiency and sources of error, to require moderate proficiency in R or Python. • Identify root causes for process and instrument errors and develop short term and long term solutions. • Develop effective training plans for clinical personnel on modified/improved workflows. • Support transfer of new technology from Research and Development teams to the CLIA lab. • Generate proper documentation for all troubleshooting and qualification. Requirements: • Bachelor’s degree or equivalent degree in biology or clinical related sciences • At least 6 months of experience with molecular biology techniques in a research or clinical laboratory • Excellent attention to detail • Effective written and verbal communication skills • Possess logical troubleshooting skills • Previous automation or clinical laboratory experience is preferred Nice-To-Haves: • Start-up experience • Experience with next-generation sequencing (NGS) • Knowledge of molecular oncology • Experience in a cell-free DNA setting 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, transpar