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Sr. Bioinformatics Scientist dash cfDNA Technology Development
Personalis🏢 Hybrid • Fremont, CA
Posted 1 months ago
Quick Info
Job Type
Full TimeSpecialty Skills
cancer genomicssomatic mutational detectionliquid biopsy analysisPythonRcfDNA
About the Role
Personalis, Inc. is a leader in advanced genomics for precision oncology. NeXT Personal is an ultra-sensitive, tumor-informed, WGS-based liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence. It leverages whole-genome sequencing of a patient's tumor and matched normal samples to create personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at very low levels (down to ~1-3 PPM) in blood samples. To enable cancer and population sequencing, Personalis' Clinical Laboratory was built with a focus on clinical accuracy, quality, big data, scale, and efficiency.
Summary:
The Bioinformatics Senior Scientist will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge cell-free and solid tumor cancer genomics products. Further, the Bioinformatics Scientist will be working alongside our clinical evidence generation teams, applying our cell-free solutions to large cancer patient cohorts and profiling patient response to therapy with our cfDNA platforms. 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. Our products are used by pharma, biotech, hospitals, and clinicians for managing patient treatment and therapeutic selection.
Responsibilities:
* Design, develop, and build upon our novel cell-free platforms and products, including our NeXT Personal MRD liquid biopsy platform
* Work cross-functionally to translate collaborative findings into actively developed cutting-edge products
* Design and execute scientific projects and experiments focused on product feature feasibility, demonstrating feature performance and clinical advantages of our cell-free platforms
* Modeling and analysis of large, complex genomics datasets using novel methods to generate biological insights
* Work with scientific teams to translate scientific findings into actively developed groundbreaking products
* Publish results and present at conferences in exciting areas, including cell-free DNA and cancer genomics
Requirements:
* Advanced degree (Ph.D.) in bioinformatics, genomics, or a related field
* Extensive experience with cancer genomics
* Extensive experience with somatic mutational detection and filtering
* Experience with cancer liquid biopsy analysis
* Proficiency with at least one common programming language (e.g., Python, R)
* A track record of designing and implementing experimental approaches to confirm and elaborate upon findings from complex projects
* Experience publishing and presenting scientific results