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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.
Demonstrates expertise in Computational Biology and Oncology Discovery, with a strong focus on integrating multi-omics data and applying machine learning techniques to drive impactful scientific discoveries. Proven leadership in mentoring teams and collaborating across multidisciplinary functions to advance cancer research.
Highest-signal resume keywords
Ph.D. In Computational BiologyDeep Expertise In Cancer BiologyComputational Biology Leadership ExperienceStatistical And Computational Methods ExpertiseMulti-Omics Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Computational BiologyBioinformaticsMachine LearningPredictive ModelingStatistical MethodsMulti-Omics Data IntegrationBiomarker Hypothesis DevelopmentTarget IdentificationDisease SegmentationMechanism-Of-Action Understanding
Soft Skills
LeadershipMentoringCommunicationCollaborationStrategic Thinking
Tools & Technologies
AI/MLData ScienceFunctional GenomicsNetwork BiologyComputational Resources
Industry Keywords
Oncology DiscoveryCancer GenomicsTranslational ResearchPrecision MedicineDrug 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
- Ensure rigorous, reproducible, interpretable computational science produces biologically meaningful hypotheses
- Embed computational thinking and AI in discovery programs and inform experimental and portfolio decisions
- Establish evidence frameworks for 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 in external 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 results into testable biological hypotheses and clear recommendations for experimental scientists and senior decision-makers
Benefits
Comp & perks- Annual bonus with set target (% of pay) depending on pay grade / location
- Vacation days
- Parental leave for a minimum of 12 weeks
- Bereavement leave
- Caregiver leave
- Volunteer leave
- Well-being reimbursement
- Programs for financial, physical and mental health
- Service anniversary and recognition awards
- Insurance plans for employees and, in some locations, eligible dependents