Senior Director, AI-Driven Integrative Oncology Discovery

Johnson & Johnson Co.; Geel; On-site; EUR 182,000 - 313,000; Full time

Benefits offered by this job

Annual bonus

Vacation days and standard leave

Job summary

Johnson & Johnson is seeking a Senior Director to lead Oncology Integrative Biology, applying AI/ML and computational biology to deepen cancer insights and drive target identification across discovery programs. You will shape bioscience strategy, mentor teams, and partner with Data Science, Translational Oncology, and Discovery leadership.

This role requires a Ph.D. or equivalent, 12+ years of industry experience, and proven leadership in computational biology to accelerate transformative

Qualifications

• Ph.D. or equivalent advanced degree in Computational Biology, Bioinformatics, Systems Biology, Genetics/Genomics, Biostatistics, Data Science, or a related discipline.
• 12+ years of relevant industry experience.
• Significant computational biology leadership experience with a track record of impact and team development.
• Expertise applying statistical and computational methods to complex genomics and multi-omics data.

Responsibilities

• Define and execute the computational biology strategy for Oncology Discovery, aligned with TA priorities and portfolio needs.
• Lead computational approaches for target identification and validation, disease segmentation, mechanism-of-action understanding, and biomarker hypotheses.
• Integrate multi-omics data to generate mechanistic insights and testable hypotheses in cancer biology.
• Embed computational thinking and AI early in discovery programs and translate insights into portfolio decisions.

Skills

AI solution evaluation

Big Data Management

Data Reporting

Developing Others

Strategic Thinking

Stakeholder Engagement

Regulatory Affairs

Risk Management

Leadership

Education

Ph.D. or equivalent in Computational Biology/Genomics/Bioinformatics

Tools

SOP

Job description

Johnson & Johnson is seeking a Senior Director to lead Oncology Integrative Biology, applying AI/ML and computational biology to deepen cancer insights and drive target identification across discovery programs. You will shape bioscience strategy, mentor teams, and partner with Data Science, Translational Oncology, and Discovery leadership.

This role requires a Ph.D. or equivalent, 12+ years of industry experience, and proven leadership in computational biology to accelerate transformative