Postdoc Immunology Computational Biology

Johnson & Johnson

Spring House, Pennsylvania, United States of America
Base: $46,000.00 - $74,750.00; bonus/equity: not s...
Hybrid
Integrate perturbation, ontology, cellular phenotyping with molecular datasets
Analyze large-scale clinical, genetic, omics, cell phenotype data
Network-based models, machine learning, novel algorithmic approaches
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way

Job Summary

  • Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
  • Construct an analytic framework by integrating perturbation, ontology and cellular phenotyping with molecular based datasets including genomics, transcriptomics, proteomics, to further enhance target evaluation, and patient stratification.
  • Apply or develop a wide variety of statistical modeling and AI/ML methods to analyze phenomic, multiomic and biobank level data to identify targets associated therapeutic with clinical and/or molecular segments and biomarkers associated with immune mediated diseases.

Matching Summary

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Salary

Base: $46,000.00 - $74,750.00; Bonus/Equity: Not specified; Benefits: Vacation –120 hours, Sick time - 40 hours, Holiday pay –13 days, Work, Personal and Family Time - up to 40 hours, Parental Leave – 480 hours, Bereavement Leave – 240 hours/40 hours, Caregiver Leave – 80 hours, Volunteer Leave – 32 hours, Military Spouse Time-Off – 80 hours

Skills & Requirements

Must-have

  • Integrate perturbation, ontology, cellular phenotyping with molecular datasets
  • Analyze large-scale clinical, genetic, omics, cell phenotype data
  • Network-based models, machine learning, novel algorithmic approaches
  • Statistical modeling and AI/ML methods for phenomic, multiomic data
  • Proficient in programming and computational skills
  • Work cooperatively with different teams

Nice-to-have

  • Independent, self-motivated, innovative
  • Goal-oriented, multifaceted, fast-moving team environment
  • Drug discovery and development practices
  • Publication and collaboration track record

Key Requirements

  • PhD in Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, or related fields
  • Completed PhD program
  • Experience with multi-omic data (RNA gene expression, proteomics, epigenomics, genetics) at bulk and single cell level
  • Experience with Immunology
  • Working knowledge of databases and analytic approaches associated with gene/pathway ontology
  • Expertise in perturbation data and analysis
  • Experience with advanced analytical approaches (NLP, ML/AI, LLM)
  • Experience with predictive models for target engagement and druggability
  • Experience with drug discovery and development practices
  • Outstanding communication, organizational and leadership skills

Work Rights

Not specified

Tailored Resume

Cover Letter