Sr. Bioinformatics Scientist (NGS)

Location: Remote in the United States, or hybrid from the South San Francisco or San Diego offices.

Salary: $150,000–$189,000 USD annually, with location-specific ranges of $150,000–$168,000 for remote US, $175,000–$189,000 for South San Francisco, and $160,000–$180,000 for San Diego.

Company

hirify.global is a diagnostics company developing genomic and clinical insights to transform cancer care.

What you will do

• Lead bioinformatics design, development, optimization, and validation for new and commercial genomic diagnostic products.
• Design development studies and analyze assay performance in collaboration with cross-functional and wet-lab teams.
• Develop statistical and machine learning methods for assay evaluation and optimization.
• Build scalable, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments.
• Partner with infrastructure, engineering, Quality, and Regulatory Affairs teams to deploy and verify production pipelines.
• Prepare technical documentation and validation reports for regulatory submissions and audits, while mentoring junior scientists.

Requirements

• PhD or MS in bioinformatics, computational biology, biostatistics, statistics, computer science, or a related field.
• 6–7 years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.
• Strong knowledge of NGS technologies, library preparation, quantitative transcriptomics, molecular biology, and human disease biology.
• Experience with machine learning, novel bioinformatics methods, computational benchmarking, and assay optimization.
• Production workflow development and deployment in AWS, including services such as EC2, S3, Step Functions, Batch, or Lambda.
• Strong Python skills, testing frameworks, software development lifecycle practices, and experience working with regulatory and quality teams.

Nice to have

• Experience with variant calling, NGS quality control, splicing, circular nucleic acids, and genomic biomarkers such as TMB, mutational signatures, or LOH.
• Working knowledge of R and relational or non-relational databases.
• Experience collaborating with wet-lab scientists on iterative experiment design and interpretation.
• Strong data visualization, technical communication, troubleshooting, and interdisciplinary collaboration skills.

Culture & Benefits

• Purpose-driven work focused on improving cancer diagnostics and patient care.
• Collaborative, inclusive environment emphasizing innovation, scientific curiosity, adaptability, and respectful teamwork.
• Competitive compensation, benefits, discretionary bonuses or incentives, and restricted stock unit eligibility.
• Career growth opportunities within a growing diagnostics organization.