Personalis, Inc. is a dynamic venture-backed company founded out of Stanford pioneering precision medicine by developing, cutting-edge NGS genomic solutions for immuno-oncology, cancer, and inherited disease. Based in Menlo Park, CA, Personalis' patented ACE platform (Accuracy and Content Enhanced) provides an integrated, innovative, high accuracy technological solution from NGS sequencing to interpretation for precision medicine applications. The ACE Platform forms the technological basis for enabling Personalis' leading products for immuno-oncology, cancer diagnostics, and inherited disease.

You will work with a world-class, dynamic team of bioinformatics scientists, software engineers, laboratory scientists, assay developers, product managers, and clinicians applying our cutting-edge cancer and immuno-oncology solutions to plan, manage, analyze, and interpret impactful collaborative R&D projects.  You will be part of a team focused on development of the latest methods for analyzing genomics data, building analysis pipelines and algorithms, and validating tools for immuno-oncology, neoantigens, and cancer. Your work will contribute to a new generation of genomics based precision medicine products in immuno-oncology and cancer clinical trials, diagnostics, and therapeutics being used by pharma, biotech, hospitals and clinicians.

 

Responsibilities

  • Plan, develop, and manage scientific collaborations, applying internally developed cancer and immuno-oncology products to detect somatic variants, neoantigens, and tumor escape mechanisms within high-profile and impactful partnerships
  • Work cross-functionally to translate collaborative findings into actively developed cutting-edge products
  • Extrapolate collaborative findings, identifying new product applications, new product opportunities, and biomarkers for cancer treatment that will influence product development
  • Apply components of innovative cancer and immuno-oncology products, including novel approaches to neoantigen prediction, TME profiling, and cell free variant detection
  • Develop methods for genomics based characterization of immuno-modulators and multi-analyte biomarkers for immuno-therapy
  • Publish results and present at conferences in the area of cancer and immuno-oncology

 

Qualifications

  • Advanced degree (PhD) in bioinformatics, genomics, or a related field.
  • Experience managing, analyzing, and interpreting large impactful multi-participant projects or collaborations
  • Experience in cancer genomics especially in immuno-oncology
  • Knowledge of neoantigens, immune checkpoints, tumor microenvironment, and tumor escape mechanisms is a plus.
  • Knowledge of biostatistics and study design 
  • Experience with cancer genomics software: Mutect, Varscan2, etc. is a plus
  • Experience with cancer databases: Cosmic, TCGA, etc. is a plus
  • Experience of cancer variant detection – Small variants, fusions, CNAs, etc. is a plus
  • Familiarity with different assays, modes of sequencing, and analysis approaches (WGS vs. Exome, RNA-seq)
  • Understanding of at least one common programming language (e.g., Python, R)
  • Experience with BASH scripting and Unix/Linux command line tools
  • Familiarity with version control systems, preferably Git a plus
  • Familiarity with grid computing systems such as SGE a plus.

 Personalis is an Equal Opportunity Employer/Minorities/Females/Veterans/Disabilities.  Personalis offers a competitive compensation package. 

 

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