Senior Bioinformatics Engineer: Cloud Pipelines & Multi-Omic

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

Job summary

San Diego Stealth Startup in San Diego, CA, seeks a Senior Staff Engineer, Bioinformatics to lead large-scale multi-omic data analysis and to develop scalable pipelines for cloud and HPC environments. The role blends data science with software development and cross-functional collaboration with wet-lab and commercial teams.

The ideal candidate has a PhD and 6+ years of bioinformatics experience, with proficiency in ML/DL methods and production-ready workflows, to enable cost-efficient,

Qualifications

• Ph.D. in computational biology, computer science, statistics, genomics, or related field
• 6+ years of professional bioinformatics experience
• Proficiency in programming languages used for multi-omic analyses
• Experience developing reproducible workflows in cloud or HPC environments

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.

Job description

San Diego Stealth Startup in San Diego, CA, seeks a Senior Staff Engineer, Bioinformatics to lead large-scale multi-omic data analysis and to develop scalable pipelines for cloud and HPC environments. The role blends data science with software development and cross-functional collaboration with wet-lab and commercial teams.

The ideal candidate has a PhD and 6+ years of bioinformatics experience, with proficiency in ML/DL methods and production-ready workflows, to enable cost-efficient,