Post Doc, R&D Immunology - Population Analytics & Insights

Role: Postdoctoral Scholar in Data Sciences within Johnson & Johnson's Innovative Medicine group, focusing on drug target identification and evaluation in immunology. Responsibilities include developing integrative analytical frameworks combining multi-omic, phenotypic, and cellular data, applying machine learning and network-based models to link targets with disease pathways, and translating computational findings into biological validation. Qualifications: PhD in a quantitative biological field (e.g., Bioinformatics, Systems Biology), with experience in multi-omic datasets (RNA, proteomics, genomics) at bulk and single-cell levels, programming proficiency, and a track record of publications. Preferred skills encompass immunology project experience, perturbation data analysis, advanced AI/ML techniques, and familiarity with drug discovery practices. The work involves cross-functional collaboration, emphasizing innovative computational modeling to support therapeutic target prioritization in immune-mediated diseases. Location: Spring House, PA, with an emphasis on independent, self-motivated research within a fast-paced, team-oriented environment.