Knowledge, Skills, And Experience

  • PhD in Bioinformatics, Statistics, Biology, or related discipline
  • 3+ years post-doctoral work experience in academia or industry
  • 8+ years experience analyzing data in an academic or industry setting ( Will consider combination of PhD program, Post Doctoral work and industry work experience. )
  • Strong publication record in immuno-oncology, translational medicine, immunology, cancer biology, or related field
  • Strong knowledge of two or more molecular data types (sequencing, gene expression, flow/CyTOF, tissue imaging, or related)
  • Strong programming skills in R
  • Experience with ggplot2, seaborn, matplotlib, or related visualization libraries
  • Experience with command line tools and cloud computing
  • Strong knowledge of statistical concepts relevant to translational research (hypothesis testing, survival analysis, regression, etc.)
  • Experiencing mentoring or managing junior scientists
  • Ability to communicate results to a variety of stakeholders, including technical and non-technical scientific audiences
  • Ability to work as a team player, respecting others and holding a “learner not knower” attitude
  • Ability to work independently in a multi-disciplinary environment
  • Bonus qualifications:
    • Experience with management (a management role could be available)
    • Experience working in a pharma or biotech industry setting
    • Experience at the bench running flow/CyTOF, imaging, or sequencing assays
    • Experience in Immuno-Oncology
    • Experience with clinical research
    • Experience with database technologies

More opportunities in Bioinformatics in the same institute

Biological Data Science Fellow San Francisco, Ca

Informatics Internship San Francisco, Ca

Postdoctoral Fellow in Biological Data Science San Francisco, Ca

Postdoctoral Fellow in Biological Data Science San Francisco, Ca

Leave a Comment