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Sr. Bioinformatics Scientist dash cfDNA Technology Development

Personalis

🏢 Hybrid • Fremont, CA

Posted 1 months ago

Quick Info

Job Type

Full Time

Specialty 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

About Personalis

Therapies for autoimmune and inflammatory diseases

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