Sr. Bioinformatics Scientist

Role overview

This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.

Veracyte is hiring a full-time Senior Bioinformatics Scientist to join its Bioinformatics and Data Science Team, which develops regulated diagnostic products. The role focuses on designing, developing, validating, and improving genomic assays, with particular emphasis on NGS, analytical pipelines, and turning complex biological data into useful insights. The position is listed as remote in the United States; the description also provides salary ranges for candidates based in San Diego and South San Francisco.

The scientist will lead bioinformatics work for new and existing products, coordinate project delivery with cross-functional teams, and build production-grade NGS workflows using AWS and containerized environments. The role also involves regulatory documentation, assay-performance analysis, communication of scientific findings, and guidance for junior team members. The overall stated pay range is $150,000–$189,000 per year; the remote US range is $150,000–$168,000, the San Diego range is $160,000–$180,000, and the South San Francisco range is $175,000–$189,000. Final pay depends on factors including experience, skills, location, industry, and education. The role may also be eligible for discretionary bonuses or incentives and restricted stock units.

Role at a glance: Veracyte seeks a full-time Senior Bioinformatics Scientist to develop and validate regulated genomic assays and NGS pipelines.

Responsibilities mentioned in the listing

• Lead bioinformatics design, development, and validation for assays supporting new and on-market products, coordinating project plans and delivery within timelines and budget constraints.
• Build scalable, production-grade workflows for high-throughput NGS analysis using AWS and containerized environments.
• Work with infrastructure and engineering teams to deploy production pipelines.
• Maintain regulatory compliance across the bioinformatics development lifecycle, including testing and documentation for CAP/CLIA, FDA, and IVDR requirements.
• Apply bioinformatics, genomics, and assay expertise to advance assay-development concepts and objectives.
• Plan development studies and lead their analyses with cross-functional teams.
• Develop statistical and machine-learning methods to assess assay performance and identify optimization strategies.

Qualifications stated in the listing

• PhD or MS in bioinformatics, computational biology, or a related data-science field such as biostatistics, statistics, or computer science.
• At least 6–7 years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.
• Thorough knowledge of NGS technologies and library-preparation approaches, including WGS, enrichment, RNA-Seq, and methylation.
• Experience with quantitative transcriptomics using NGS or expression microarray data in human disease or biology, including differential expression, dimension reduction, expression-based classifier development, RNA signatures, or cell-type deconvolution.
• Proficiency in machine learning, novel bioinformatics methods, algorithm development, and benchmarking computational methods.
• Experience developing and deploying bioinformatics workflows in AWS, such as EC2, S3, Step Functions, Batch, or Lambda.
• Strong Python skills, including testing frameworks and software development lifecycle best practices.
• Experience collaborating with Quality and Regulatory Affairs on assay and analysis-pipeline development and verification.