BillionToOne
Senior Process Engineer, Oncology
Menlo Park, CA · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$4,935 more — $133,557 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $133,557 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Materials Engineers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Materials Engineers (17-2131) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- A Rare Opportunity to Shape the Future of Genomics Join a team of brilliant, passionate innovators determined to transform healthcare.
- 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.
Responsibilities
- Build upon the existing statistical Process Control system to enable ever decreasing failure rates and ever increasing assay performance.
- Develop new data and information handling tools to aid in efficient sample processing and process monitoring within the clinical laboratory.
- Apply six sigma, Design-for-quality, and 5S frameworks to existing or new processes to improve both capability, scalability, and quality of molecular diagnostic assays.
- Lead thorough root cause analyses to identify and solve process issues, with a mindset for long-term solutions.
Requirements
- Bachelor's, Master's or Ph.D. in biology, bioengineering, or related sciences
- At least 5-6 years of experience with molecular biology techniques in a research or clinical laboratory
- Proficiency in R, Python, or an adjacent coding language
- Experience with data presentation and technical report authoring
- Experience working with GMP, ISO, or equivalent environments, with strong knowledge of Quality Management Systems and practices.
- Experience mentoring junior team members
- Experience in a cell-free DNA setting
- Experience with 6-sigma, Lean, JIT, TPS
- Experience with CLIA/CAP, 510K, PMA, and other regulatory requirements
- The ability to indirectly or directly change the lives of hundreds of thousand patients
- Strong statistical analysis skills
- Strong experience designing rigorous, well controlled studies in a molecular biology environment
- Excellent attention to detail
- Effective written and verbal communication skills
- Possess logical troubleshooting skills
- Nice-To-Haves:
- Start-up experience
- Knowledge of medical genetics
Compensation
- Develop the strategies to support 2-3X annual growth in commercial volume.
- For this position, we offer a total compensation package of up to $205,064 per year, including a base pay range of $128,622 - $150,058 per year.
Benefits
- Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
- Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)
- Supplemental fertility benefits coverage
- Retirement savings program including a 4% Company match
- Increase paid time off with increased tenure
- A variety of perks on campus (state of the art gym, restaurant)
- Source and evaluate external technologies which might benefit COGS, process throughput, assay performance, turnaround time, or other key operational metrics.
This listing is sourced directly from BillionToOne's careers page and normalized into a canonical job model.