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Senior Director, Integrative Biology – Oncology Discovery
Johnson & Johnson. Define and execute the computational biology strategy for Oncology Discovery across therapeutic modalities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in Computational Biology and Oncology Drug Discovery, with a strong focus on integrating multi-omics data and applying machine learning techniques to drive target identification and validation. Proven leadership in mentoring teams and collaborating across multidisciplinary research functions to advance scientific discovery.
Highest-signal resume keywords
Ph.D. In Computational BiologyCancer Biology ExpertiseComputational Biology LeadershipStatistical And Computational MethodsMachine Learning And AI Applications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Computational BiologyBioinformaticsMulti-Omics Data IntegrationPredictive ModelingStatistical AnalysisTarget IdentificationBiomarker Hypothesis DevelopmentDisease SegmentationMechanism-Of-Action UnderstandingFunctional Genomics
Soft Skills
LeadershipMentoringCommunicationCollaborationStrategic Thinking
Tools & Technologies
AI/ML TechniquesData Science ToolsComputational ResourcesAnalytical ApproachesEvidence Frameworks
Industry Keywords
Oncology DiscoveryTranslational ResearchPrecision MedicineCancer GenomicsSingle-Cell BiologySpatial BiologyDrug Discovery
About the role
Key responsibilities & impact- Define and execute the computational biology strategy for Oncology Discovery across therapeutic modalities
- Lead computational approaches for target identification and validation, disease segmentation, mechanism-of-action understanding, and biomarker hypotheses
- Integrate human tumor, patient-derived, multi-omics, and functional genomics data
- Advance machine learning, AI, network biology, predictive modeling, and multimodal data integration
- Partner with data science, AI/ML, informatics, and technology teams on scalable analytical approaches
- Embed computational thinking and AI early in discovery programs
- Establish evidence frameworks for evaluating targets and therapeutic hypotheses
- Communicate computational findings to Discovery teams and senior leadership
- Recruit, lead, mentor, and develop computational biologists
- Establish priorities and deploy computational resources against high-impact scientific questions
- Build partnerships across Oncology Discovery, Translational Research, Data Science, AI/ML, Precision Medicine, and other R&D functions
- Maintain awareness of advances in cancer genomics, functional genomics, single-cell and spatial biology, computational biology, AI/ML, and drug discovery
- Establish external collaborations and represent the organization at conferences, through publications, and other scientific interactions
Requirements
What you’ll need- Ph.D. or equivalent advanced degree in Computational Biology, Bioinformatics, Systems Biology, Genetics/Genomics, Biostatistics, Data Science, or a related discipline
- Deep expertise in cancer biology and oncology drug discovery
- 12+ years of relevant industry experience
- Significant computational biology leadership experience with a track record of scientific impact, team development, and influence across multidisciplinary discovery teams
- Demonstrated expertise applying statistical and computational methods to complex genomics and multi-omics data
- Ability to translate computational results into testable biological hypotheses and clear recommendations for experimental scientists and senior decision-makers
Benefits
Comp & perks- Inclusive work environment
- Employee respect, diversity, dignity, and merit