Process Engineering Associate I/II, Oncology

BillionToOne; Menlo Park (CA); On-site; USD 75,029 - 85,748; Full time

Job summary

A clinical testing company in Menlo Park is seeking a Process Engineering Associate I/II to support clinical patient testing in a high-throughput lab. The role entails developing tools, analyzing process data, and troubleshooting errors in molecular biology methods. Candidates should possess a Bachelor's degree, at least 6 months of experience in a lab, and have skills in R or Python. Compensation is competitive, with a total package of $104,322 per year, and the position is onsite.

Qualifications

• At least 6 months of experience with molecular biology techniques in a research or clinical laboratory.
• Excellent attention to detail and effective communication skills are essential.
• Previous automation or clinical laboratory experience is preferred.

Responsibilities

• Apply sound engineering practices to optimize molecular biology methods.
• Conduct experiments to identify and confirm root causes of process errors.
• Develop methods to analyze process data for stability and improvement.
• Implement software tools to enhance sample processing efficiency.
• Generate documentation for troubleshooting and qualification activities.

Skills

Molecular biology techniques

Data analysis

Attention to detail

Communication skills

Troubleshooting skills

Automation experience

Education

Bachelor’s degree in biology or related clinical science

Tools

Software tools for data analysis

R

Python

Job description

Process Engineering Associate I/II, Oncology

Join a growing Process Engineering team in support of clinical patient testing in our high‑throughput CLIA lab. The PEA I is responsible for developing new tools for improved clinical workflow efficiency, analyzing process data to monitor and troubleshoot high‑throughput assays, and identifying root causes of recurring errors with proper documentation to enable long‑term corrective actions. This role offers experience in process engineering, data analysis, experimental design, automation, and coding in Python and R within a dynamic clinical laboratory environment. The position is onsite in Menlo Park.

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 a high‑throughput molecular biology lab.
• Develop methods to compile and analyze large amounts of process data to assess process stability, trending, and areas for improvement.
• Develop and implement software tools to aid efficient sample processing within the clinical laboratory.
• Use software tools to quantitatively analyze process efficiency and sources of error; moderate proficiency in R or Python required.
• 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 or improved workflows.
• Support transfer of new technology from R&D teams to the CLIA lab.
• Generate proper documentation for all troubleshooting and qualification activities.

Requirements

• Bachelor’s degree or equivalent in biology or a related clinical science.
• 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.
• Logical troubleshooting skills.
• Previous automation or clinical laboratory experience is preferred.

Nice‑to‑Haves

• Experience with next‑generation sequencing (NGS).
• Knowledge of molecular oncology.
• Experience in a cell‑free DNA setting.

Compensation

Compensation includes a total package of $104,322 per year, with a base pay range of $75,029‑$85,748 per year.

Equal opportunity employer: We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.