Sr Director R&D DDSAI Discovery Biologics

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Spring House Pennsylvania United States of America

Job Description:

J&J Innovative Medicine is hiring for a Sr Director - R&D DDSAI - Biologics Discovery opportunity. This position has a primary location of Spring House PA and will require up to 25% travel.

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 the Opportunity

Help shape the next generation of Discovery Biologics by bringing together exceptional science biologics data lab robotics and AI to discover better medicines for patients faster.

Johnson & Johnson Innovative Medicine is seeking an accomplished scientific and organizational leader to oversee all Data & AI activities supporting Discovery Biologics. Your mission will be to help our scientists discover the best possible molecules with speed to double our rate of clinical candidates in our already industry leading organization.

You will set the organizations data and AI strategy for Discovery Biologics build outstanding multidisciplinary capabilities and translate advances in Tech Data & AI into productive scientific practice. Working closely with Discovery Biologics scientists and IT you will connect molecular design experimentation data generation and analytical insight into a new AI-Native Biologics engine that learns from every experiment.

Key Responsibilities

Set the Data & AI Strategy

• Define and execute an integrated strategy spanning data advanced analytics machine learning and AI across Discovery Biologics.
• Translate scientific and portfolio priorities into a focused multiyear roadmap balancing immediate discovery needs with differentiated long-term capabilities.
• Oversee the Data & AI project portfolio aligning investments resources partnerships and delivery priorities with scientific impact.
• Serve as a senior strategic partner to the Discovery Biologics leadership team communicating opportunities progress risks and investment tradeoffs clearly.

Make AI Productive in Biologics Discovery

• Lead the development evaluation and deployment of AI approaches that support antibody engineering lab data analytics profiling and candidate optimization.
• Partner with experimental scientists & IT to define the questions that matter design meaningful evaluations and translate process opportunities into project investments with clear measurable impacts
• Advance predictive generative and multimodal approaches where they offer demonstrable value in collaboration with our Discovery modeling and IT teams.
• Ensure promising methods become reliable scalable capabilities embedded in discovery workflows rather than isolated proofs of concept.

Connect Molecular Design and Experimental Learning

• Partner with scientific and automation teams to connect molecular design experimental execution data capture analysis and subsequent design decisions.
• Ensure experimental data continuously strengthens models and scientific understanding.
• Enable scientists at the center of AI-enabled discovery through the use of AI tools and lab automation. Combining computational recommendations with experimental evidence and scientific reasoning.

Build Connected AI-Ready Data Foundations

• Oversee the data strategy and engineering capabilities needed to capture integrate curate and reuse Discovery Biologics data.
• Establish durable data products connecting sequence assay results profiling biophysical measurements automation outputs and external partner datasets.
• Champion FAIR principles semantic alignment metadata quality shared ontologies and provenance.
• Partner with downstream development colleagues to maintain continuity of molecular knowledge and developability evidence across the Discovery-to-CMC interface.

Deliver Trusted Sustainable Capabilities

• Partner with technology platform and enterprise AI teams to align scientific requirements with scalable architecture and infrastructure.
• Oversee the full lifecycle of analytical and AI solutions including development testing deployment monitoring maintenance and improvement.
• Promote reusable capabilities and standards that strengthen collaboration across R&D.

Build Talent and Scientific Adoption

• Attract exceptional talent and develop leaders who can bridge experimental science and computational innovation.
• Foster a culture of scientific rigor curiosity collaboration and accountability for usable outcomes.
• Strengthen scientists data and AI Literacy through partnership coaching and practical demonstrations of value.

Shape External Innovation

• Build strategic collaborations with academic groups biotechnology companies technology partners and scientific consortia.
• Evaluate emerging methods and external capabilities against Discovery Biologics priorities.
• Represent the organization in scientific and industry forums and support publications and intellectual property where appropriate.

Required Qualifications

Proposed requirements for this role:

• Ph.D. or equivalent experience in Computational Biology Bioinformatics Protein Engineering Biomedical Engineering Computer Science AI/ML Applied Mathematics or a related discipline.
• 12 years of relevant experience applying data science computational methods or AI in drug discovery or related scientific environments including 7 years building and leading scientific or technical teams.
• Substantial experience in biologics discovery with the scientific depth to partner credibly with antibody and protein engineering scientists.
• Demonstrated success translating ML/AI and data capabilities into experimentally grounded discovery decisions and adopted scientific workflows.
• Strong technical judgment across ML/AI scientific computing data engineering and model lifecycle management.
• Experience setting strategy prioritizing investments and delivering complex programs through multidisciplinary teams and matrix partnerships.
• Expertise in building reusable interoperable data foundations with high standards for quality governance and reproducibility.
• Exceptional executive communication and stakeholder leadership with the ability to connect technical opportunities to scientific and organizational priorities.

Preferred Qualifications

• Experience with AI-enabled experimentation laboratory automation or closed-loop optimization.
• Familiarity with knowledge graphs ontologies semantic search and scientific data integration.
• Experience connecting discovery data and insights with developability and downstream development needs.
• A record of scientific publications intellectual property or impactful academic and industry collaborations.

Why Join Us

This is an opportunity to shape how Discovery Biologics invents new medicines of the future not simply how discovery data is analyzed in the largest health company on the planet.

You will bring scientific ambition and computational innovation together around a compelling purpose: helping scientists explore more possibilities learn faster and create better molecules for patients. Your influence will span strategy talent data foundations AI capabilities and the everyday decisions that move discovery forward.

If you are energized by deep science bold leadership and turning AIs potential into meaningful discovery impact we invite you to help us build the future of Discovery Biologics.

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 internal employees contact AskGS to be directed to your accommodation resource.

#JRDDS

#JNJDataScience

JNJIMRND-DS

Required Skills:

Preferred Skills:

Advanced Analytics Budget Management Business Alignment Compliance Management Consulting Critical Thinking Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Developing Others Digital Fluency Inclusive Leadership Leadership Strategic Thinking

The anticipated base pay range for this position is :

$196000.00 - $342700.00

Additional Description for Pay Transparency:

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

This position is eligible to participate in the Companys 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: - Experience:

Exec