Senior Director, Integrative Biology- Oncology Discovery
About The Position
Johnson & Johnson is seeking a Senior Director to lead its Oncology Integrative Biology team and provide scientific and strategic leadership for computational biology within Oncology Discovery across disease-area strongholds. The team integrates biological evidence and emerging computational approaches to advance target identification and validation, generate precision medicine hypotheses, and deepen pathway biology across pre-portfolio and portfolio programs. It will pioneer AI-enabled approaches to discovery biology in partnership with disease-area teams, DPDS, Data Science, Translational Oncology, and other discovery partners. The Senior Director will serve on the Discovery Senior Leadership Team and as a scientific partner to Oncology Discovery leaders, DASL, Translational Research, and discovery project teams. The role applies large-scale biological datasets to generate actionable insights and inform drug discovery strategy, builds a high-performing computational biology capability, establishes fit-for-purpose computational strategies across the discovery portfolio, and ensures computational insights translate into biological hypotheses and decisions. The integrative discovery team is expected to grow to up to 10 full-time employees over the next several years. The leader will also implement and drive AI Native workstreams for the Oncology discovery team. The position is available in Beerse, Belgium; Cambridge, Massachusetts; and Spring House, Pennsylvania.
Requirements
- 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.
- At least 12 years of relevant industry experience.
- Significant computational biology leadership experience, with a 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.
Nice To Haves
- AI solution evaluation
- Big Data Management
- Data Reporting
- Data Savvy
- Developing Others
- Drug Discovery Development
- Inclusive Leadership
- Leadership
- Molecular Diagnostics
- Pharmaceutical Microbiology
- Product Knowledge
- Project Reporting
- Regulatory Affairs Management
- Risk Management
- Scientific Research
- Stakeholder Engagement
- Standard Operating Procedure (SOP)
- Strategic Thinking
- Sustainability
Responsibilities
- Define and execute the computational biology strategy for Oncology Discovery, aligned with therapeutic-area priorities and portfolio needs across multiple 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 to generate mechanistic insights and experimentally testable cancer biology hypotheses.
- Advance machine learning, AI, network biology, predictive modeling, and multimodal data integration for oncology discovery.
- Partner with data science, AI/ML, informatics, and technology teams to develop scalable analytical approaches and evaluate emerging methods and platforms.
- Champion rigorous, reproducible, and interpretable computational science that yields biologically meaningful, experimentally testable hypotheses.
- Embed computational thinking and AI early in discovery programs and translate biological questions and quantitative insights into experimental and portfolio decisions.
- Establish evidence frameworks for evaluating targets and therapeutic hypotheses using insights across programs and datasets.
- Communicate complex computational findings clearly in biological and strategic terms to Discovery teams and senior leadership.
- Recruit, lead, mentor, and develop computational biologists, fostering scientific excellence, innovation, collaboration, and understanding of cancer biology.
- Set 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.
- Track advances in cancer genomics, functional genomics, single-cell and spatial biology, computational biology, AI/ML, and drug discovery.
- Establish external collaborations with academic investigators, biotechnology companies, technology providers, and other partners.
- Represent the organization at scientific conferences and through publications and other external scientific interactions.
Benefits
- Annual bonus with a target percentage based on pay grade and location; actual amount depends on employee and company performance in the prior calendar year, or sales commissions.
- Vacation days
- Parental leave for a minimum of 12 weeks
- Bereavement leave
- Caregiver leave
- Volunteer leave
- Well-being reimbursement
- Programs supporting financial, physical, and mental health
- Service anniversary and recognition awards
- Participation in insurance plans, subject to plan terms and location eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
