Director, R&D – AI Solutions

Johnson & Johnson

. Define and execute the TDS AI Solutions strategy and portfolio roadmap .

Posted 9/18/2026full-timeSpring House • Pennsylvania • United StatesLead💰 $164,000 - $282,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML solution development, including model validation, deployment, and compliance in regulated environments. Proven ability to lead and mentor data science teams while collaborating with cross-functional stakeholders to drive strategic initiatives.

Highest-signal resume keywords

AI/ML Solution DevelopmentPython ProgrammingPeople LeadershipMLOps PracticesGxP Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied Machine LearningStatistical ModelingGenerative AIAgentic PatternsCloud EnvironmentsModel ValidationVersion ControlDocumentation StandardsReproducibilityCode Review

Soft Skills

Influencing StakeholdersCollaborationMentoring

Tools & Technologies

AWSSnowflakeKnowledge GraphsSemantic Layers

Industry Keywords

Pharmaceutical R&DLife Sciences ManufacturingClinical SupplyCMC/Process DevelopmentRegulated Environments

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Define and execute the TDS AI Solutions strategy and portfolio roadmap
Lead design, build, validation, and delivery of AI/ML, generative AI, and agentic co-scientist solutions
Establish reusable solution patterns, shared components, evaluation frameworks, and agentic architectures
Serve as DDSAI technical owner for shared AI capabilities for TDS
Represent TDS requirements to cross-functional platform, data, and technology teams
Set standards for model development, validation, evaluation, monitoring, version control, testing, documentation, reproducibility, and code review
Partner with J&J Technology and platform teams on deployment, integration, scaling, MLOps, orchestration, and observability
Drive model validation, transparency, traceability, and computerized-system compliance in regulated GxP environments
Define model lifecycle and sustainability, including support, documentation, retraining, revalidation, total cost of ownership, and retirement criteria
Recruit, develop, and lead applied data scientists, ML scientists, and GenAI/NLP engineers
Scale TDS data science capacity through common tooling, coding and validation standards, reusable templates, onboarding, mentoring, and communities of practice
Collaborate with process chemists, analytical and formulation scientists, engineers, and supply chain SMEs
Align Senior Director and VP stakeholders across TDS, DDSAI, and J&J Technology to prioritize the portfolio and drive adoption

Requirements

What you’ll need

Advanced degree in Engineering, Data Science, Computer Science, Statistics, Operations Research, or a related quantitative field
10+ years of experience in applied data science, machine learning, or AI solution development
At least 3 years in a people leadership role
Deep, hands-on expertise with Python, applied machine learning and statistical modeling, GenAI/LLMs, agentic patterns, and cloud environments including AWS and Snowflake
Track record of building teams that deliver AI/ML into production and sustained adoption
Ability to influence and align technical and business stakeholders at Senior Director and VP level
Evidence of growing data science capability through standards, shared tooling, training, or mentoring
Ability to collaborate with scientists and subject matter experts to co-define problems and co-develop adopted solutions
Preferred: pharmaceutical R&D, CMC/process development, life sciences manufacturing, clinical supply, or GxP experience
Preferred: generative AI and agentic co-scientist solutions, including evaluation, guardrails, and orchestration
Preferred: MLOps practices, knowledge graphs, semantic layers, and deployment or architecture decisions with IT and platform organizations

Benefits

Comp & perks

Retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
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
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Inclusive interview process and disability accommodations