
Senior Director, Immunology β AI Systems
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in California, +3 more states.
β’ Develop and uphold the Immunology AI strategy along with a multi-year roadmap.
β’ Oversee strategic portfolio planning which includes identifying opportunities, framing value, prioritizing, sequencing, making investment decisions, managing dependencies, and aligning resources.
β’ Construct a cohesive execution model that outlines decision rights, accountable owners, milestones, risks, and value metrics.
β’ Collaborate with Immunology scientific and development leaders across areas such as discovery, translational research, clinical development, biomarkers, evidence generation, and portfolio decision-making.
β’ Provide technical direction on AI solution architecture, data readiness, model appropriateness, validation, scalability, interoperability, and ethical usage.
β’ Coordinate alignment and delivery across DDSAI, J&J Technology, the Immunology Therapeutic Area, Global Development, and Global Regulatory Affairs.
β’ Ensure a robust data foundation that includes reusable data products, metadata, ontologies, knowledge graphs, catalogs, and accessible pathways.
β’ Implement portfolio governance and stage-gate decision processes from experimentation to production, scaling, operations, and lifecycle management.
β’ Establish success metrics for the portfolio, encompassing scientific and business outcomes, adoption rates, improvements in time or quality, scalability, reuse, and return on investment.
β’ Promote adoption and organizational transformation by integrating AI into scientific and development workflows while enhancing AI and data literacy.
β’ Cultivate internal and external partnerships, determining the best approach for building, buying, partnering, or reusing enterprise solutions.
β’ Lead, develop, and retain a high-performing team that spans AI strategy, technical product leadership, data products, program execution, and stakeholder engagement.
β’ Represent the Immunology AI strategy to senior R&D and enterprise stakeholders, communicating updates, decisions, risks, and value propositions.
β’ Report to the Vice President of Immunology and Cardiopulmonary, DDSAI, through Research & Development Data, Data Science, and AI.
β’ An advanced degree (PhD, MD, PharmD, MS, or equivalent) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related technical discipline.
β’ At least 10 years of post-academic industry experience or equivalent.
β’ Proven leadership in managing complex data, digital, AI, or technology-driven life sciences initiatives.
β’ Experience in defining strategies and converting them into prioritized roadmaps along with coordinated execution plans within complex multistakeholder environments.
β’ Strong technical expertise in AI/ML, data engineering, data products, analytics platforms, knowledge representation, and solution lifecycles.
β’ Familiarity with complex, high-dimensional biomedical data, including omics, imaging, translational, clinical trial, biomarker, competitive intelligence, and real-world data.
β’ Capability to lead through influence in a matrixed pharmaceutical organization, align senior stakeholders, navigate ambiguity, and drive decisions across organizational boundaries.
β’ Experience in establishing governance, operating models, portfolio management practices, and value-tracking systems for AI, data, digital, or technology portfolios in pharmaceutical R&D.
β’ Strong leadership skills and experience in talent development.
β’ Exceptional executive communication, strategic thinking, synthesis, and decision-framing abilities.
β’ Preferred: experience in life sciences, healthcare, pharmaceuticals, biotechnology, or medical technology; specifically in Immunology R&D.
β’ Preferred: experience with enterprise or therapeutic-area AI strategy and execution across discovery and development workflows.
β’ Preferred: skills in technical product management, agile delivery, change management, and the scaled adoption of AI-enabled products.
β’ Preferred: knowledge of responsible AI, model validation, data privacy, security, regulatory expectations, and risk management within a biomedical context.
β’ Preferred: familiarity with CDISC, GA4GH, FHIR, NCI Thesaurus, ontologies, knowledge graphs, and data catalogs.
β’ Preferred: experience in evaluating build-versus-buy-versus-partner strategies and forming strategic technology or external innovation partnerships.
β’ Consolidated retirement plan (pension).
β’ Savings plan (401(k)).
β’ Long-term incentive program.
β’ Vacation β 120 hours per calendar year.
β’ Sick time β 40 hours per calendar year; 48 hours for Colorado employees; 56 hours for Washington employees.
β’ Holiday pay, including Floating Holidays β 13 days per calendar year.
β’ Work, Personal and Family Time β up to 40 hours per calendar year.
β’ Parental Leave β 480 hours within one year of birth/adoption/foster care of a child.
β’ Bereavement Leave β 240 hours for an immediate family member; 40 hours for an extended family member per calendar year.
β’ Caregiver Leave β 80 hours in a 52-week rolling period.
β’ Volunteer Leave β 32 hours per calendar year.
β’ Military Spouse Time-Off β 80 hours per calendar year.
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