Senior Bioinformatics Scientist
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Job Description
Senior Bioinformatics Scientist at Veracyte driving next-generation MRD test development. Collaborating with cross-functional teams for robust clinical diagnostics delivery.
Responsibilities:
- Drive the design, and development of next-generation minimal residual disease (MRD) laboratory-developed tests (LDTs).
- Contribute to assay concepts, driving analytical development and validation.
- Partner closely with wet-lab, clinical, quality, regulatory, and software teams to deliver robust MRD diagnostics for multiple indications.
- Lead technical execution of key scientific efforts, owning assay bioinformatics from concept through analytical validation and launch.
- 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.
- Develop, validate, and maintain scalable, production-ready bioinformatics pipelines for MRD analysis, including QC, variant calling, MRD calling logic, and reporting.
Requirements:
- 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, including experience with SDLC best practices.
- Proven experience working in design-controlled, regulated environments (CAP/CLIA LDT, IVD, or equivalent).
- Proficiency in development of novel bioinformatics methodologies, and algorithms development, including benchmarking of computational methods.
- 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 ownership, and independent work.
Benefits:
- Competitive compensation
- Health insurance
- Paid time off
- Professional development opportunities
- Flexible work arrangements
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