[Hiring] Associate Director, Bioinformatics Development @Veracyte

Role Description

We are seeking a highly experienced and motivated Associate Director, Bioinformatics Development to lead the bioinformatics strategy, design, and development of next‑generation minimal residual disease (MRD) laboratory‑developed tests (LDTs). This role involves technical leadership and mentorship of computational development scientists as well as cross‑program coordination, based on deep hands‑on expertise in NGS ctDNA-based oncology assay development.

The Assistant Director will lead bioinformatics strategy across MRD assay programs, partnering closely with wet‑lab, clinical, quality, regulatory, and software teams to ensure delivery of analytically robust, clinically meaningful diagnostics under CAP/CLIA regulations and design control. This role is ideal for a senior scientist who remains deeply technical while beginning to operate at a program‑ and portfolio‑level.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a closely related quantitative field.
• Minimum 8 years of total relevant experience, with at least 5 years of management experience in biotech, diagnostics, or regulated healthcare environments.
• Demonstrated experience leading NGS‑based assay development for clinical diagnostics.
• Hands‑on experience with ctDNA‑based MRD assays, including personalized or tumor‑informed approaches.
• Strong programming skills in Python, with experience developing and benchmarking reproducible, production‑grade analysis pipelines, including experience with SDLC best practices.
• Proven experience working in design‑controlled, regulated environments (CAP/CLIA LDT, IVD, or equivalent).
• Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team.
• Demonstrated record of technical and scientific leadership, ownership, and independent work.

Requirements

• Experience developing and deploying bioinformatics workflows in AWS (e.g., EC2, S3, Step Functions, Batch, Lambda, etc.).
• Strong understanding of germline and somatic mutation processes leading to complex variation and genome-wide biomarkers with potential clinical utility.
• Working knowledge of R.
• Experience with relational and non-relational database technologies is a plus.

Benefits

• For candidates based in our San Diego office, the salary (or hourly range) is $202,000 - $219,000.
• For candidates based in our South San Francisco office, the salary (or hourly range) is $220,000 - $231,000.
• For candidates working remote (US), the salary (or hourly range) is $192,000 - $208,000.