Sr. Bioinformatics Scientist

TL;DR

Sr. Bioinformatics Scientist (NGS/AWS): Lead bioinformatics design, development, and validation for genomic assays, coordinating assay development execution across project core teams. Focus on building production-grade high-throughput NGS analysis workflows on AWS, developing statistical and machine learning methods to evaluate assay performance, and ensuring CAP/CLIA/FDA/IVDR regulatory compliance throughout the bioinformatics development lifecycle.

Location: South San Francisco, California, United States

Salary: $175,000 — $190,000 USD

Company

hirify.global is a global diagnostics company transforming cancer care with genomic tests and evidence-generation capabilities.

What you will do

• Coordinate planning, execution, and delivery of bioinformatics assay development efforts within timelines and budget constraints.
• Design study design and perform all analysis for assay development in collaboration with cross-functional teams.
• Develop statistical and machine learning techniques to evaluate assay performance and create optimization strategies.
• Build scalable, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments.
• Ensure regulatory compliance (CAP/CLIA, FDA, IVDR) with rigorous testing and documentation; support regulatory submissions and audits.
• Communicate analysis results and mentor junior bioinformatics team members.

Requirements

• PhD or MS in bioinformatics, computational biology, or an adjacent field (biostatistics, statistics, or computer science).
• 6–7+ years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.
• Strong expertise in NGS technologies and library preparation methods (e.g., WGS, enrichment, RNA-Seq, methylation).
• Proficiency in quantitative transcriptomics (e.g., differential expression, dimension reduction, expression-based classifiers, RNA signatures, cell type deconvolution).
• Experience developing and deploying bioinformatics workflows in AWS (e.g., EC2, S3, Step Functions, Batch, Lambda).
• Strong Python proficiency (including testing frameworks and SDLC best practices) and working knowledge of R.

Culture & Benefits

• Purpose-driven work focused on transforming cancer care.
• Competitive compensation with potential discretionary bonuses/incentives and restricted stock units.
• Inclusive, values-guided environment with collaboration across teams.
• Mentorship and growth opportunities within the Bioinformatics and Data Science organization.