Job Description
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, 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, 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.
- 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 $170,000 - $187,000.
- For candidates based in our South San Francisco office, the salary (or hourly range) is $177,000 - $207,000.
- For candidates working remote (US), the salary (or hourly range) is $162,000 - $178,000.
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