Principal Scientist, Computational-immunology Discovery

Johnson & Johnson Johnson & Johnson · Pharma · Spring House, PA +4

The Principal Scientist, Computational-Immunology Discovery role at Johnson & Johnson focuses on analyzing and interpreting high-dimensional molecular omics data to identify new therapeutic pathways and patient stratification approaches within the Immunology Therapeutic Area. This is an individual contributor role requiring expertise in bioinformatics, R/Python, and experience with omics data analysis to support drug discovery programs.

What you'd actually do

  1. Independently build, align, and execute technical plans to achieve objectives across multiple programs.
  2. Timely delivery of hands-on data analysis, visualization, and interpretation for Discovery portfolio decision-making.
  3. Substantially impact Discovery programs through direct technical execution and indirect contribution as a member of Discovery project teams.
  4. Collaborate with cross-functional teams to drive computational insights for Discovery programs.

Skills

Required

  • PhD in a field relevant to bioinformatics including, but not limited to, Computational Biology, Immunology, Biostatistics, or Computer Science.
  • 4+ years work experience using computational biology to discover biological insights from molecular data in immunology or an immunology-related field.
  • Deep technical expertise analyzing ‘omics data, including bulk and single cell RNA-seq.
  • Fluent in R and/or Python.
  • A proven ability to communicate and collaborate across disciplines.
  • Exceptional scientific rigor and attention to detail.

Nice to have

  • Cloud computing experience
  • Background in inflammatory diseases
  • wet lab experience
  • Motivation to shape the technical direction of Immune Pathway Discovery by piloting new approaches and demonstrating their potential impact.
  • Expertise in machine learning, data management, spatial transcriptomics, or network biology.
  • Ability to build and leverage a strong scientific network to drive portfolio impact.

What the JD emphasized

  • strong technical background in bioinformatics
  • established track record of using bioinformatics to drive business impact
  • strong technical, collaboration, communication, and time management skills are critical
  • Agentic AI and AI-assisted coding experience in an industry setting, or a strong motivation to learn