Postdoc Data Science Oncology

Johnson & Johnson

Spring House, Pennsylvania, United States of America
Base: $95,000; bonus/equity: not specified; benefi...
Hybrid
Single-cell and spatial transcriptomics
Advanced statistical and machine-learning methods
Integrate multi-modal datasets
The successful candidate will work closely with experimental and clinical collaborators, applying cutting-edge statistical and machine-learning approaches to identify immune cell states, biomarkers, and mechanisms underlying response to cancer therapy

Job Summary

  • The successful candidate will work closely with experimental and clinical collaborators, applying cutting-edge statistical and machine-learning approaches to identify immune cell states, biomarkers, and mechanisms underlying response to cancer therapy.
  • Lead the synthesis of computational findings into clear, compelling scientific narratives and drive manuscript preparation for submission to high-impact journals.
  • Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Matching Summary

The successful candidate will work closely with experimental and clinical collaborators, applying cutting-edge statistical and machine-learning approaches to identify immune cell states, biomarkers, and mechanisms underlying response to cancer therapy.

Salary

Base: $95,000; Bonus/Equity: Not specified; Benefits: medical, dental, vision, life insurance, disability, retirement plan, savings plan, vacation, sick time, holiday pay, work/personal/family time

Skills & Requirements

Must-have

  • single-cell and spatial transcriptomics
  • advanced statistical and machine-learning methods
  • integrate multi-modal datasets
  • computational programming languages R and/or Python

Nice-to-have

  • tumor immunology and cancer biology
  • translational research environments
  • clinically interpretable insights

Key Requirements

  • PhD in relevant quantitative discipline
  • Strong experience analyzing high-dimensional omics data
  • Proficiency in R and/or Python
  • Demonstrated ability to work independently
  • Strong scientific writing skills
  • Track record for first-author publications

Work Rights

Not specified

Tailored Resume

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