Senior Bioinformatics Engineer - Scalable Data Pipelines

San Diego Stealth Startup; San Diego (CA); On-site; USD 202,000 - 215,000; Full time

Job summary

San Diego Stealth Startup is seeking a Senior Staff Engineer, Bioinformatics to lead large-scale multi-omic analyses, build scalable pipelines for cloud and HPC environments, and collaborate with wet-lab and commercial teams in San Diego.

The ideal candidate has a Ph.D. in a related field, 6+ years of bioinformatics experience, and proven skills in statistics, machine learning, and reproducible workflows across cloud or HPC platforms.

Qualifications

• Ph.D. in a related field.
• 6+ years of professional experience in bioinformatics or closely related roles.
• Ability to distinguish biological signal from technical noise using various statistical, machine learning and deep learning methodologies.
• Proficiency in programming languages frequently used for both ad hoc and scalable production multi-omic analyses.
• Experience developing reproducible workflows in cloud or HPC environments.
• Preferred: Experience optimizing compute costs at scale.
• Preferred: Experience developing commercial products.

Responsibilities

• Analyze large-scale multi-omic data to delineate technical artifacts from biological signals.
• Design and implement novel computational methods to improve signal detection and reduce compute costs.
• Develop and maintain robust analysis pipelines.
• Build and optimize reproducible workflows in cloud and HPC environments with attention to cost and scalability.
• Identify and resolve technical artifacts through cohort-level and assay-aware analysis.
• Partner with wet-lab scientists to diagnose and address assay artifacts.
• Communicate findings clearly and contribute to technical decision-making.

Skills

Programming languages for multi-omic分析

Education

Ph.D. in computational biology, computer science, statistics, genomics, or related field

Job description

San Diego Stealth Startup is seeking a Senior Staff Engineer, Bioinformatics to lead large-scale multi-omic analyses, build scalable pipelines for cloud and HPC environments, and collaborate with wet-lab and commercial teams in San Diego.

The ideal candidate has a Ph.D. in a related field, 6+ years of bioinformatics experience, and proven skills in statistics, machine learning, and reproducible workflows across cloud or HPC platforms.