Principal Scientist, Computational Biology-Oncology Translational Research

Role: Principal Scientist in Computational Biology focusing on Oncology Translational Research at Johnson & Johnson, with responsibilities including developing and executing computational strategies for biomarker programs, integrating complex multi-omics and clinical data, and supporting AI-enabled bioinformatics and statistical analyses to inform clinical development. The role requires leadership in analyzing DNA/RNA sequencing, proteomics, single-cell, and spatial transcriptomics data, applying deep oncology and cancer biology expertise, and collaborating across disciplines such as clinical trials, biomarker operations, and data science. Qualifications: PhD in Bioinformatics, Computational Biology, Biostatistics, or related fields, with at least 3 years industry experience, proficiency in R, Python, and high-throughput sequencing analysis, and deep knowledge of oncology drug development, including Phase 1-3 trials. Preferred skills include familiarity with regulatory data standards (CDISC SDTM/ADaM), deep learning, and biomarker activities supporting diagnostics and regulatory submissions. The position emphasizes scientific leadership, cross-functional influence, and experience with multimodal omics and AI methods. High-Value: Oncology, biomarker integration, multimodal omics, AI applications, clinical trial phases 1-3. The role is based in Spring House, PA, Cambridge, MA, or La Jolla, CA.