Senior Scientist, Computational Biology- Oncology Translational Research

Role: Senior Scientist in Computational Biology focused on oncology translational research within Johnson & Johnson's Innovative Medicine division. Objectives include analyzing complex multimodal omics, biomarker, and clinical data using AI, bioinformatics, and machine learning to generate insights that inform oncology clinical development. Responsibilities involve integrating molecular, pathological, and clinical datasets to identify biomarkers for prognosis, treatment response, and resistance; supporting translational strategies through computational evidence; and collaborating with cross-functional teams including clinical, biomarker, regulatory, and data science units. Qualifications: PhD in Bioinformatics, Computational Biology, or related field; 1-3 years’ industry experience; proficiency in R, Python, and high-throughput data analysis; strong knowledge of oncology biology, biomarker applications, and clinical trial concepts. Preferred: familiarity with CDISC data standards, deep learning, and clinical trial design; experience in IND/NME development and biomarker support for diagnostic and regulatory activities. High-Value: Oncology, biomarker discovery, multimodal omics, clinical trials (Phases 1-3), regulatory sciences, and translational medicine; role involves extensive cross-disciplinary collaboration. Location: Multiple US sites with flexible work arrangements; no specific travel requirements noted.