Senior Scientist, Multi-Omic Data & AI for Target Discovery

Johnson & Johnson Innovative Medicine; Spring House (PA); On-site; USD 109,000 - 175,000; Full time

Job summary

Johnson & Johnson Innovative Medicine (JJIM) is recruiting a Senior Scientist to join the Population Analytics & Insights group in Spring House, PA. You will analyze large-scale clinical, genetic, omics and phenotypic data to advance drug discovery and development, targeting immunology diseases and precision therapeutics.

The role emphasizes integrating diverse data sources, applying ML/AI methods, and collaborating across Data Sciences and Therapeutic Discovery teams to drive insights and

Qualifications

• Ph.D. in a quantitative Biology field is required.
• 2-3 years experience post PhD is required.
• Experience with multi-omic data (RNA, proteomics, epigenomics, genetics) at bulk and single cell level is required.
• Proficient in programming and computational skills; able to collaborate with scientists to meet objectives.
• Excellent communication, organization and leadership skills; track record of publications.

Responsibilities

• Construct analytic framework integrating perturbation, ontology and cellular phenotyping with omics datasets to evaluate targets.
• Provide modeling expertise for multimodal data to predict treatment effects.
• Apply AI/ML and statistical methods to identify targets and biomarkers in immune-mediated diseases.
• Translate computational findings to support validation across biological and pharmacological teams.
• Collaborate with Data Sciences and Therapeutic Discovery teams; annotate targets and networks using NLP.

Skills

Advanced analytics

Data analysis

AI/ML methods

NLP

R

Education

Ph.D. in quantitative biology

Tools

Python

ML frameworks

Job description

Johnson & Johnson Innovative Medicine (JJIM) is recruiting a Senior Scientist to join the Population Analytics & Insights group in Spring House, PA. You will analyze large-scale clinical, genetic, omics and phenotypic data to advance drug discovery and development, targeting immunology diseases and precision therapeutics.

The role emphasizes integrating diverse data sources, applying ML/AI methods, and collaborating across Data Sciences and Therapeutic Discovery teams to drive insights and