[Hiring] Senior Bioinformatics Scientist @Veracyte

Role Description

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, a 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.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a closely related quantitative field (or M.Sc. plus 3 additional years industry experience).
• Minimum 6 years of total relevant experience in biotech, diagnostics, or regulated healthcare environments.
• Demonstrated experience in 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 reproducible, production‑grade analysis pipelines.
• Proven experience working in design‑controlled, regulated environments (CAP/CLIA LDT, IVD, or equivalent).
• Proficiency in development of novel bioinformatics methodologies and algorithms development.
• Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation.
• Demonstrated record of technical and scientific 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

• Competitive compensation and benefits.
• Opportunities for career growth and development.
• Commitment to fostering an inclusive workforce.
• Recognition as a 2024 Certified™ Great Place to Work® in both the US and Israel.