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.

• Integrating molecular, pathological, and clinical datasets to identify biomarkers for prognosis, treatment response, and resistance
• Supporting translational strategies through computational evidence
• Collaborating with cross-functional teams including clinical, biomarker, regulatory, and data science units

• 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

• familiarity with CDISC data standards, deep learning, and clinical trial design
• experience in IND/NME development and biomarker support for diagnostic and regulatory activities

• Oncology
• biomarker discovery
• multimodal omics
• clinical trials (Phases 1-3)
• regulatory sciences
• translational medicine
• role involves extensive cross-disciplinary collaboration

Multiple US sites with flexible work arrangements; no specific travel requirements noted.