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Salary: USD 76,155 - 87,034 / annual
BillionToOne is a publicly traded molecular diagnostics company (Nasdaq) focused on transforming prenatal and cancer diagnostics through cell-free DNA technology. The company has grown from $0 to $400M+ annualized revenue in 6 years and recently completed a successful IPO in 2025.
You will join the Oncology Development and Process Engineering team supporting clinical patient testing in a high-throughput CLIA laboratory. This role offers broad exposure to molecular assay development, data analysis, experimental design, and laboratory automation in a fast-paced, rewarding environment.
Key Responsibilities:
- Develop and extend current assays to meet evolving clinical needs, working with scientists, engineers, and technical staff
- Apply computational and analytical methods to analyze experiments; develop and implement software tools using R or Python for quantitative analysis
- Support assay validations and regulatory compliance under FDA and design control frameworks
- Present technical findings and project updates at group meetings and in written reports
- Execute experiments in the lab, document procedures and results, and contribute to R&D lab organization
- Partner across departments to transfer and scale developed assays into high-throughput clinical operations
- Apply engineering practices to troubleshoot, scale, and optimize molecular biology methods; systematically identify root causes of variation and develop corrections
The role is on-site in Menlo Park with the majority of days spent in the office.
Requirements:
- Bachelor's, Master's, or equivalent degree in Molecular Biology, Biochemistry, Cell Biology, Microbiology, Biophysics, or related field
- Minimum 12 months of hands-on experience with molecular biology techniques (PCR, electrophoresis, DNA purifications) in a research or clinical laboratory setting (can be during or after Bachelor's degree)
- Solid foundation in quantitative data analysis, statistics, and experimental design with familiarity using R or Python; strong willingness to expand computational skills
- Clear verbal and written communication skills for reporting to cross-functional teams of scientists and non-scientists
- Proven experimental troubleshooting and root-cause analysis skills with sharp attention to detail
Nice-to-haves: startup experience, NGS and/or cell-free DNA experience, laboratory automation experience, molecular oncology knowledge, protocol composition experience.
