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

Johnson Johnson; United States; On-site; USD 164,000 - 283,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks a Director, Data Science to lead a team of applied data scientists, ML scientists, and GenAI/NLP engineers. You will shape the AI solutions portfolio, turn scientific and operational data into scalable workflows, and partner with DDSAI and platform teams to productionize advanced analytics across Therapeutics Development & Supply.

You will own model-informed design, lab-in-the-loop workflows, and dynamic document generation, driving durable

Qualifications

• 10+ years of applied data science experience.
• 3+ years in people leadership.
• Hands-on experience delivering AI/ML into production.
• Ability to influence senior stakeholders.

Responsibilities

• Define and execute the TDS AI Solutions strategy.
• 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 scalable architectures.
• Recruit, develop, and lead a team of applied data scientists, ML scientists, and GenAI/NLP engineers.

Skills

Python

GenAI/LLMs

Leadership

MLOps

Data science

Cloud environments

Stakeholder influence

Education

Advanced degree in Engineering, Data Science, CS, Statistics, OR

Tools

AWS

Snowflake

Knowledge graphs

Ontology

Job description

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

People Leader

All Job Posting Locations

Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

Job Description

Johnson & Johnson Innovative Medicine is recruiting for a Director, R&D DDSAI Therapeutics Development Supply (TDS) - AI Solutions. The primary location for this position is open to Spring House, PA or Malvern, PA.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

POSITION SUMMARY

Therapeutics Development & Supply (TDS) bridges scientific discovery and clinical application across Chemistry, Manufacturing and Controls (CMC), device development, and clinical supply chain, ensuring every molecule, modality, and delivery system is developed, scaled, and supplied under rigorous scientific and regulatory standards.

The R&D Data, Data Science and AI organization is seeking a Director, Data Science to lead a team of applied data scientists, machine learning scientists, and GenAI/agentic engineers who turn TDS’s scientific and operational data into AI- and data-science-driven workflows. You will own the design, build, validation, and delivery of the solutions behind TDS’s digital roadmap, from model-informed process design and lab-in-the-loop workflows to scientific reasoning agents and dynamic document generation. Success is measured in delivering durable, reusable capabilities rather than delivered pilots, and in how far data science scales beyond your own team into TDS. Leading 5+ individual contributors, you will build on AI-ready data products and semantic layers and partner with scientists, SMEs, DDSAI, and J&J Technology to move solutions from pilots to governed production-level products. This leader is expected to drive outcomes through a combination of hands‑on technical work, delegation and influence.

KEY RESPONSIBILITIES

Applied AI/ML & GenAI Solutions Leadership

• - Define and execute the TDS AI Solutions strategy and portfolio roadmap aligned to TDS and DDSAI priorities, spanning scientific reasoning and decisions, model-informed design, autonomous labs and plants, intelligent demand‑driven supply, and dynamic document generation.
• - Lead the design, build, validation, and delivery of AI/ML, generative AI, and agentic co‑scientist solutions, translating complex scientific and operational problems into well-scoped modeling problems with fit‑for‑purpose methods.
• - Establish reusable solution patterns, shared components, evaluation frameworks, and agentic architectures that scale across TDS modalities and functions, favoring configurable capabilities over point solutions, and setting the criteria for when a bespoke build is justified.
• - Serve as DDSAI technical owner for the large, shared AI capabilities for TDS, representing TDS requirements to cross‑functional platform, data, and technology teams; arbitrating trade‑offs across competing functional demands, influencing sequencing and release priorities, and setting the technical direction and multi‑year roadmap for those capabilities within the broader R&D data and AI strategy.

Solution Delivery, Technical Excellence & Productionization

• - Set and enforce standards for model development, validation, evaluation, and monitoring, including version control, testing, documentation, reproducibility, and code review.
• - Consume AI‑ready data products, ontologies, and knowledge graphs from DDSAI, and partner with J&J Technology and platform teams on deployment, integration, scaling, and monitoring (MLOps, agentic orchestration, observability).
• - Drive model validation, transparency, traceability, and computerized‑system compliance for solutions operating in regulated (GxP) environments.
• - Define lifecycle and sustainability: support models, documentation, retraining and revalidation cadence, total cost of ownership, and criteria for scaling, consolidating, or retiring solutions.

People Leadership, Capability Building & Scientific Collaboration

• - Recruit, develop, and lead a team of applied data scientists, ML scientists, and GenAI/NLP engineers, and grow TDS’s quantitative and AI fluency.
• - Scale TDS’s own data science capacity through common tooling, coding and validation standards, reusable templates, and reference implementations that TDS‑embedded data scientists adopt directly, reinforced by onboarding, code review, mentoring, and communities of practice.
• - Work directly with process chemists, analytical and formulation scientists, engineers, and supply chain SMEs to frame problems, curate and interpret data, and co‑design solutions that fit real laboratory and manufacturing workflows and earn daily use.
• - Maintain a dotted‑line operating model with DDSAI AI/ML and GenAI leadership for technical fit and reuse across the federated organization, and align Senior Director and VP stakeholders across TDS, DDSAI, and J&J Technology to prioritize the portfolio and drive adoption.

QUALIFICATIONS

Required

• - 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, with at least 3 years in a people leadership role.
• - Deep, hands‑on expertise across the modern AI/ML stack: Python, applied ML and statistical modeling, GenAI/LLMs and agentic patterns, and cloud environments (AWS, Snowflake).
• - Track record of building teams that deliver AI/ML into production and sustained adoption, including reusable components used well beyond their original use case.
• - Ability to influence and align technical and business stakeholders at the Senior Director and VP level, including representing a function’s requirements into shared platform or enterprise capability decisions.
• - Evidence of growing data science capability beyond a central team through standards, shared tooling, training, or mentoring that enabled embedded data scientists to build and maintain their own solutions.
• - Proven ability to collaborate with scientists and subject matter experts to co‑define problems and co‑develop solutions that are adopted in practice.

Preferred

• - Experience in pharmaceutical R&D, CMC/process development, life sciences manufacturing, clinical supply, or GxP environments.
• - Experience delivering generative AI and agentic (co‑scientist) solutions, including evaluation, guardrails, and orchestration.
• - Familiarity with MLOps practices (model registries, feature stores, automated retraining, monitoring) and knowledge graphs and semantic layers, and a track record of co‑owning deployment and architecture decisions with IT and platform organizations.

WHY THIS ROLE IS UNIQUE

This is a rare opportunity to grow in one of the world's most ambitious and fast‑growing R&D Data Science organizations, shaping how data and AI transform decision‑making across Drug Product Development & Supply, with direct impact on Therapeutics Development & Supply. You will lead the solutions engine for one of the most ambitious digital transformations in pharmaceutical R&D. Your work will directly improve how Johnson & Johnson plans and executes its development portfolio and accelerates delivery of next‑generation therapies to patients globally.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

#JRDDS

#JNJDataScience

JNJIMRND-DS

Required Skills

Preferred Skills:
Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

The anticipated base pay range for this position is :
$164,000.00 - $282,900.00

Additional Description for Pay Transparency:
Please use the following language:

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company’s long‑term incentive program.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

• 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

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits