Base: $79,000.00 - $127,650.00; bonus/equity: not ...
Hybrid
Phd in computational biology or related field
Experience with single-cell rna-seq data
Proficiency in r and python programming
The successful candidate will apply cutting-edge statistical and machine-learning approaches to identify immune cell states and biomarkers underlying response to cancer therapy
Job Summary
The successful candidate will apply cutting-edge statistical and machine-learning approaches to identify immune cell states and biomarkers underlying response to cancer therapy.
This position offers the opportunity to integrate multi-modal datasets including scRNA-seq, spatial transcriptomics, and clinical metadata to achieve a systems-level understanding of tumor-immune interactions.
Johnson & Johnson provides an inclusive work environment with comprehensive benefits including 480 hours of parental leave and up to 13 days of holiday pay.
Matching Summary
The successful candidate will apply cutting-edge statistical and machine-learning approaches to identify immune cell states and biomarkers underlying response to cancer therapy.
Salary
Base: $79,000.00 - $127,650.00; Bonus/Equity: Not specified; Benefits: Pension, 401(k), Vacation, Sick time, Parental Leave
Skills & Requirements
Must-have
PhD in Computational Biology or related field
Experience with single-cell RNA-seq data
Proficiency in R and Python programming
Strong scientific writing and publication record
Nice-to-have
Experience with tumor immunology datasets
Familiarity with spatial transcriptomics platforms
Background in translational clinical research
Experience integrating multi-modal datasets
Key Requirements
PhD required in Computational Biology, Bioinformatics, or related discipline
Demonstrated ability to work independently on complex projects
Track record of first-author publications in high-impact journals