Sr. Bioinformatics Scientist – Cfdna Technology Development
Personalisinc
Fremont, CA, United States
Base: $155,000 to $190,000 py; bonus/equity: annua...
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Cell-free platforms and products
Genomics datasets analysis
Cancer genomics
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Personalis, Inc. is seeking a Senior Bioinformatics Scientist to develop and enhance cell-free DNA technologies for precision oncology. The ideal candidate will have extensive experience in cancer genomics, particularly in liquid biopsy analysis, and possess strong programming skills.
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Job Summary
The Bioinformatics Senior Scientist will develop, test, and apply cutting-edge cell-free and solid tumor cancer genomics products.
This position will directly contribute to a new generation of genomics-based precision-medicine products for profiling MRD, ctDNA dynamics, and patient response to treatment.
The role involves designing, developing, and building upon novel cell-free platforms and products, including the NeXT Personal MRD liquid biopsy platform.
Matching Summary
Match Score: 75
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Personalis, Inc. is seeking a Senior Bioinformatics Scientist to develop and enhance cell-free DNA technologies for precision oncology. The ideal candidate will have extensive experience in cancer genomics, particularly in liquid biopsy analysis, and possess strong programming skills.
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Salary
Base: $155,000 to $190,000 per year; Bonus/Equity: Annual performance-based bonus and long-term incentive units; Benefits: Full range of medical, financial, and/or other benefits
Skills & Requirements
Must-have
cell-free platforms and products
genomics datasets analysis
cancer genomics
somatic mutational detection
liquid biopsy analysis
Python or R proficiency
Nice-to-have
cross-functional collaboration
scientific project design
experimental approach implementation
scientific publication and presentation
Key Requirements
Ph.D. in bioinformatics, genomics, or related field
Extensive experience with cancer genomics
Extensive experience with somatic mutational detection and filtering
Experience with cancer liquid biopsy analysis
Proficiency with Python or R
Track record of designing and implementing experimental approaches
Experience publishing and presenting scientific results