Bioinformatics Pipeline Engineer — Production

Natera; San Francisco (CA); On-site; USD 114,000 - 143,000; Full time

Benefits offered by this job

Long-term equity awards

401(k) with company match

Generous paid time off

Job summary

Natera is seeking a Bioinformatics Production Analyst in San Francisco to analyze sequencing data and support product development. You will help move data through the analysis pipeline, identify improvements, and ensure data quality in a fast-paced environment.

The role requires genetics knowledge, proficiency in Python, Linux, and SQL, and experience with NGS analyses and workflow languages. Strong documentation skills are essential.

Qualifications

• Bachelor’s degree in Biomedical Engineering, Computer Science, Bioinformatics, or a related field.
• 2+ years of relevant professional experience.
• Master’s degree in a relevant scientific or technical discipline is preferred.

Responsibilities

• Analyze high-throughput DNA sequencing data to support product development, validation studies, and analysis requests.
• Improve data movement through the analysis pipeline and implement production workflow improvements.
• Investigate and resolve issues related to data quality, pipelines, and system integration.
• Communicate and collaborate with biology, software engineering, lab operations, and medical/legal teams.
• Produce high-quality written documentation including study plans and technical reports.
• Regularly handle PHI with strict privacy compliance.
• Complete HIPAA/PHI privacy, security, and GPP training within 30 days of hire.

Skills

Python data analysis

Linux command-line

SQL databases

Genomics / NGS analysis

Pipelines (WDL/Nextflow)

Data visualization (Plotly)

Technical writing

Education

Bachelor’s degree in Biomedical Engineering, Computer Science, Bioinformatics, or related field

Master’s degree in a relevant discipline

Tools

Plotly

Nextflow

WDL

Job description

Natera is seeking a Bioinformatics Production Analyst in San Francisco to analyze sequencing data and support product development. You will help move data through the analysis pipeline, identify improvements, and ensure data quality in a fast-paced environment.

The role requires genetics knowledge, proficiency in Python, Linux, and SQL, and experience with NGS analyses and workflow languages. Strong documentation skills are essential.