Director, R&D – DDSAI Therapeutics Development Supply, AI Solutions

Johnson & Johnson

. Define and execute the TDS AI Solutions strategy and portfolio roadmap aligned to TDS and DDSAI priorities .

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, team leadership, and collaboration with cross-functional stakeholders. Proficient in Python, model validation, and compliance in regulated environments, with a focus on building reusable components and driving AI fluency.

Highest-signal resume keywords

Applied Data ScienceMachine LearningPython ProgrammingTeam LeadershipGenerative AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied Machine LearningStatistical ModelingModel ValidationModel Lifecycle ManagementCloud EnvironmentsAWSSnowflakeMLOps PracticesAgentic PatternsKnowledge Graphs

Soft Skills

Influencing StakeholdersCollaborationMentoring

Tools & Technologies

AI SolutionsEvaluation FrameworksShared ComponentsReproducibility StandardsCode Review

Industry Keywords

Pharmaceutical R&DGxP EnvironmentsLife Sciences ManufacturingCMC/Process Development

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Define and execute the TDS AI Solutions strategy and portfolio roadmap aligned to TDS and DDSAI priorities
Lead design, build, validation, and delivery of AI/ML, generative AI, and agentic co-scientist solutions
Translate complex scientific and operational problems into well-scoped modeling problems
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, and monitoring
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 a team of applied data scientists, ML scientists, and GenAI/NLP engineers
Grow TDS quantitative and AI fluency through common tooling, standards, templates, onboarding, code review, 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
Lead 5+ individual contributors and deliver durable, reusable AI capabilities for Therapeutics Development & Supply

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
Expertise in applied machine learning and statistical modeling
Expertise with GenAI/LLMs and agentic patterns
Experience with cloud environments, including AWS and Snowflake
Track record of building teams that deliver AI/ML into production and sustained adoption
Experience creating reusable components used beyond their original use case
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: experience in pharmaceutical R&D, CMC/process development, life sciences manufacturing, clinical supply, or GxP environments
Preferred: experience delivering generative AI and agentic co-scientist solutions, including evaluation, guardrails, and orchestration
Preferred: familiarity with MLOps practices, knowledge graphs, semantic layers, and deployment or architecture decisions with IT and platform organizations

Benefits

Comp & perks

Participation in the Company’s consolidated retirement plan (pension)
Participation in the Company’s savings plan (401(k))
Eligibility for the Company’s 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 reasonable accommodation support