Bioinformatics Scientist

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. 

Our Values:

• We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward.
• We Make It Happen: We act with urgency, deliver with excellence, and always find a way. 
• We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. 
• We Care Deeply: We show up with integrity, kindness, and respect for one another. 

The Position:

We are seeking a highly experienced and motivated Senior Bioinformatics Scientist to drive the design, and development of next‑generation minimal residual disease (MRD) laboratory‑developed tests (LDTs). This senior, independent scientist position is responsible for contributing to assay concepts, driving analytical development and validation, and partnering closely with wet‑lab, clinical, quality, regulatory, and software teams to deliver robust, clinically actionable MRD diagnostics for multiple indications.

The ideal candidate brings expertise in NGS‑based oncology assays, strong understanding of ctDNA biology and a proven track record of industry assay development under design control. This individual will lead technical execution of key scientific efforts, owning assay bioinformatics from concept through analytical validation and launch.

KEY RESPONSIBILITIES:

Scientific & Technical Expertise

• Contribute to bioinformatics strategy for MRD assay design, development, optimization, and lifecycle management for LDTs developed under CAP/CLIA quality systems.
• Lead and contribute to study design, data analysis, performance characterization, and decision‑making throughout development.
• Apply deep domain knowledge in cancer genomics, ctDNA biology, and NGS technologies to inform assay architecture, variant detection strategies, and error suppression approaches in collaboration with our data science and modeling teams.

Assay Development & Validation

• Design and execute analytical studies to evaluate assay performance, including accuracy, limit of detection, and reproducibility, in collaboration with wet‑lab and biostatistics partners.