• Bioinformatics Scientist

    Job Locations US-Princeton
    Posted Date 2 weeks ago(5/7/2018 11:17 AM)
    # of Openings
  • Overview

    We are seeking a highly motivated bioinformatics scientist to join the Bioinformatics team to help advance Advaxis’ portfolio of novel immuno-oncology therapies. This position will perform bioinformatics analysis on patient datasets from several on-going clinical trials. The applicant will interrogate immunologic data to identify potential biomarkers associated with patient outcomes. He/She will also work with internal and external collaborators to develop novel approaches for neoantigen detection.



    • Perform bioinformatics data analysis on internal and external NGS datasets related to ongoing clinical programs.
    • Contribute to the development of novel approaches for the identification of neoantigens and tumor escape mechanisms.
    • Collaborate with the Research team and translate scientific findings into actionable information for diverse groups of scientists, clinicians, and other stakeholders. 
    • Design and develop tools for analysis of DNA and RNA sequencing.



    • Strong publication record.
    • Fluent in programming languages such as Python, C++, or similar.
    • Fluent in R statistical programming language.
    • Demonstrated experience with the analysis of next-generation sequencing data (whole exome sequencing, RNA sequencing, Nanostring, TCR sequencing, etc.).
    • Expertise with designing and implementing NGS analysis pipelines in a Linux environment.
    • Experience working in a cloud-computing environment (AWS, DNANexus).
    • Understanding of statistical modeling and machine learning approaches (Keras, Tensorflow).
    • Experience with publicly available genomic datasets from TCGA, ICGC, COSMIC, ExAc.
    • Knowledge of cancer genomics and immuno-oncology strongly preferred.
    • Excellent written and verbal communication skills.  
    • Thrives in a fast-paced working environment.
    • Prior experience in immune-oncology, immunology, and/or cancer biology strongly preferred.


    • Masters degree with 2+ years working experience or Ph.D. in Bioinformatics, Computational Biology, Molecular Biology, Statistics or related discipline



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