Sr Director, Head of Data Science & Digital Health – Preclinical Sciences & Translational Safety (PSTS)

Johnson & Johnson Innovative Medicine•Spring House, PA

9d•Onsite

About The Position

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com. 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. Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Preclinical Sciences & Translational Safety (PSTS). This position has a primary location of Spring House, PA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Overview We are seeking a visionary leader to drive the data science strategy for our Preclinical Sciences & Translational Safety (PSTS) organization. This role will partner closely with PSTS leadership, PSTS teams, and IT partners to advance translational safety, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio. You will shape how safety and translational data are captured, integrated, and leveraged to accelerate our understanding of human disease and patient treatment-response. This position requires a strategic leader who can align PSTS’s scientific objectives with data science investments that help achieve those objectives. While ensuring interoperability with other R&D departments such as Therapeutics Discovery (TD), Therapeutics Development & Supply (TDS), and all our Therapeutic Areas. Ready to make an impact? Join us in shaping the future of Preclinical Sciences & Translational Safety at Johnson & Johnson. 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 and 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, please email the Employee Health Support Center ([email protected]) or contact AskGS to be directed to your accommodation resource. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at https://www.jnj.com/.

Requirements

PhD or equivalent experience in Computational Biology, Toxicology, Pharmacology, AI/ML, Applied Math/Statistics or related field.
7+ years in data science for translational safety, drug discovery, or related domains, with experience leading teams in a matrix setting.
Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains.
Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of translational safety and preclinical workflows.
Demonstrated success in delivering interoperable data products and scalable analytics platforms.
Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization.

Nice To Haves

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

Responsibilities

Develop and execute a comprehensive data strategy for PSTS, focusing on advanced automation, data integration, and FAIR data practices, and the use of ML/AI in close alignment with PSTS and IT.
Lead the design and implementation of scalable data pipelines, ML/AI models, and analytics to support translational safety and preclinical workflows.
Partner with PSTS leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for PSTS.
Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization.
Lead a core team of data scientists and engineers to support PSTS in reaching its strategic goals.
Collaborate with PSTS teams, IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit PSTS’s business objectives.
Work with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in translational safety and preclinical sciences (for example: experiment design, safety risk prediction, lab process automation, etc.).

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