Head of Technology – Therapeutic Areas, External Scientific Innovation

Johnson & Johnson

. Own the technology profile, strategy, portfolio, delivery, and operational performance for therapeutic-area science and externally sourced innovation .

Posted 9/23/2026full-timeUnited StatesLead💰 $178,000 - $307,050 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in technology portfolio management, data integration, and AI capabilities within pharmaceutical R&D, with a strong focus on translating scientific needs into scalable technology solutions. Proven ability to lead cross-functional teams and manage complex projects while ensuring compliance and operational excellence.

Highest-signal resume keywords

Technology Portfolio ManagementData Integration and AnalyticsAI/ML-Enabled Scientific WorkflowsLeadership in Pharmaceutical R&DRegulatory Compliance and Quality Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Technology Strategy DevelopmentData Product Operating ModelsLaboratory AutomationMulti-Omics Data IntegrationClinical Trial DesignAgile PracticesSemantic StandardsModel Lifecycle ManagementBiomarker StrategyTranslational Research

Soft Skills

Strategic LeadershipConsulting SkillsFacilitation SkillsInfluencing SkillsConflict Resolution

Tools & Technologies

ELNLIMSAI/ML PlatformsResearch Data PlatformsKnowledge GraphsLaboratory InstrumentsAnalytical SolutionsData Science ToolsCloud ComputingData Visualization Tools

Industry Keywords

Pharmaceutical R&DImmunologyOncologyNeuroscienceTranslational ScienceClinical DataScientific Knowledge ManagementExternal Scientific CollaborationData AcquisitionVenture Ecosystems

About the role

Key responsibilities & impact

Own the technology profile, strategy, portfolio, delivery, and operational performance for therapeutic-area science and externally sourced innovation
Establish a sustained partnership with the Data, Data Science and AI organization to shape technology, data products, analytics, and AI capabilities around scientific and clinical priorities
Lead people, products, platforms, systems, and projects across Immunology, Oncology, Neuroscience, and External Scientific Innovation
Establish outcome measures and report progress, value, risk, dependencies, and resource needs
Represent the technology agenda on the Research Systems Senior Leadership Team and with Therapeutic Area and External Scientific Innovation leadership
Develop and maintain a multi-year technology, data, and AI profile and roadmap
Translate scientific needs into scalable, reusable, and measurable technology, data, and AI capabilities using product, portfolio, and Agile practices
Ensure reliable day-to-day operation and lifecycle management of platforms, including service levels, change management, risk remediation, security, and support
Lead governance for system quality, regulatory compliance, privacy, security, and continuous improvement
Assess business value, scientific impact, feasibility, cost, and risk for projects, enhancements, and rollouts
Co-lead design, build, integration, testing, deployment, validation, adoption, and lifecycle management of data products, analytical solutions, and AI-enabled technology
Build implementation plans with outcomes, timelines, owners, dependencies, adoption measures, and milestones
Jointly prioritize the portfolio based on patient and scientific value, data readiness, strategic fit, reuse potential, risk, and return on investment
Establish secure patterns for onboarding and integrating external collaborations, licensed assets, acquired data, and partner platforms
Monitor scientific and technology trends and translate insights into technology strategy and capability choices
Partner on scalable, secure, and interoperable integrations across laboratory instruments, ELN, LIMS, research data platforms, knowledge graphs, analytics environments, AI/ML platforms, and clinical systems
Structure and execute proofs of concept and create plans to industrialize, integrate, and scale successful capabilities across Therapeutic Areas

Requirements

What you’ll need

Bachelor’s degree or equivalent in Computer Science, Engineering, Biology, Bioinformatics, Chemistry, Medicine, or a related scientific or technical discipline is required; an advanced degree is preferred
A PhD, MD, or equivalent experience in a relevant life-science, translational, clinical, or data discipline is an advantage
Minimum of 10 years of technology or digital product experience in pharmaceutical R&D
Minimum of 5 years leading people and/or substantial matrixed teams
Working knowledge of the pharmaceutical R&D value chain, including target discovery, target validation, lead finding, lead optimization, translational research, biomarker strategy, and clinical trial design and execution
Experience with discovery biology laboratory systems, instrumentation integration, laboratory automation, ELN, and LIMS capabilities
Experience with FAIR research data, metadata, data lineage, ontologies, semantic standards, and scientific knowledge management
Experience jointly delivering with data, data science, and AI organizations, including data-product operating models, advanced analytics, responsible AI, model lifecycle management, and production adoption
Experience with multi-omics, imaging, in vivo, assay, biomarker, translational, and clinical data integration and analytics
Experience with AI/ML-enabled scientific workflows, scalable compute, model lifecycle management, and decision-support products
Familiarity with scientific and technology requirements of Immunology, Oncology, and Neuroscience research
Proven success in technology portfolio management, product delivery, business relationship management, and capability adoption in a complex global matrix
Experience supporting external scientific collaborations, due diligence, data acquisition, or partner integration in pharmaceutical, biotechnology, academic, or venture ecosystems
Ability to translate scientific and clinical requirements into resilient, secure, reusable, and scalable technology products and data capabilities
Strong strategic and people leadership skills
Strong consulting, facilitation, influencing, and conflict-resolution skills
Excellent communication and presentation skills
Up to 15% domestic and international travel may be required

Benefits

Comp & perks

Medical, dental, and vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; 56 hours per calendar year for employees who reside in Washington State
Holiday pay, including floating holidays – 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours
Inclusive interview process and accommodations for applicants with disabilities