Sr. Bioinformatics Scientist – Novel Cell Free DNA Applications

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

About the position

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 Senior Bioinformatics 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 Senior Bioinformatics Scientist will work closely with our clinical evidence generation teams, applying our cell-free technology 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 and develop novel cell-free technologies and products
  • Collaborate closely with laboratory scientists to design experiments to develop and evaluate novel applications for cell-free DNA assays
  • Draw on deep experience with genomics and statistics to model and improve performance of cell-free assays and features
  • Synthesize large datasets to develop and evaluate new biological and technological hypotheses
  • Partner with the clinical evidence generation team to ensure the applicability and evaluate the performance of novel assays or feature improvements
  • Maintain a strong working knowledge of literature covering technological developments in the cell-free DNA and liquid biopsy space
  • 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 in the application of statistical methods to genomic applications
  • 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
    Benefits
  • medical
  • dental
  • vision
  • 401(k) match
  • ESPP
  • tuition reimbursement
  • sick/vacation time
  • commuter benefits/ EV charging stations
  • onsite gym
  • wellness benefits

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