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.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Bioinformatics

Job Category:

People Leader

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

About Innovative Medicine:

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

We are searching for the best talent for a Director, Scientific Computing Operations to be in Beerse, Belgium.
 

Please note that this role is also available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

United States - Requisition Number: R-066281

Beerse, Belgium - Requisition Number: R-068140

Remember, whether you apply to one or all requisition numbers, your applications will be considered as a single submission.
 

Purpose:
The Director, Scientific Computing Operations is a people leader responsible for the strategy, delivery, adoption, and operational excellence of scientific computing, analytics, and AI‑enabled platforms that underpin Statistics & Decision Sciences (SDS) and Quantitative Sciences and Clinical Pharmacology (QSCP) decision‑making. This role owns the end‑to‑end lifecycle of scientific computing platforms and solution architecture, ensuring scalability, regulatory readiness, security, and alignment with enterprise technology and business priorities.
 

The Director represents SDS on cross‑functional and enterprise working groups and partners closely with leaders and colleagues across Strategic Business and Computing Operations (SBCO), SDS, QSCP, Clinical & Statistical Programming, Global Development, Enterprise IT, and Johnson & Johnson Innovative Medicine R&D to enable alignment, transparency, and shared accountability. This leader operates with a strong enterprise mindset, translating complex scientific and business needs into coherent, sustainable technology strategies that deliver measurable impact

You will be responsible for:

• Platform, Architecture & Infrastructure Ownership: Provide enterprise leadership for the design, documentation, governance, and lifecycle management of scientific computing, analytics, and AI platforms. Own infrastructure investment planning across cloud and high‑performance computing environments, balancing scalability, cost efficiency, reliability, and long‑term sustainability for advanced analytics and AI workloads. Ensure platforms are validated, secure, regulatory‑ready, and compliant, and establish standards and best practices that enable interoperable, resilient solutions

• Scientific Computing & Solution Architecture Leadership: Define and evolve scientific computing, analytics, and solution architecture strategies aligned with SDS priorities and R&D objectives. Lead multi‑year technology and infrastructure roadmaps, providing authoritative architectural direction that strengthens flexibility, stability, usability, and long‑term sustainability. Translate complex scientific and operational needs into coherent technology strategies and operating plans, advising senior leadership on opportunities to enhance interoperability and platform effectiveness.

• Technology Innovation & Value Realization: Advance innovation in scientific computing, automation, and analytics by identifying, evaluating, and scaling emerging technologies. Convert innovation into operational capabilities that improve decision quality, productivity, and efficiency. Guide the application of advanced analytics, scenario planning, and quantitative insights to enable strategic decision‑making and sustained scientific and business value.

• Advanced Analytics, AI, ML & Emerging Technology: Lead enablement of AI, machine learning, advanced analytics, and decision intelligence capabilities across SDS and QSCP. Establish and enforce functional governance, standards, and end‑to‑end lifecycle management for analytics and AI solutions. Ensure capabilities are ethical, transparent, explainable, secure, and compliant for use in regulated R&D environments.

• Stakeholder Management: Engage stakeholders and build strong relationships with internal and external partners to communicate and support technology strategy. Prepare and present reports and dashboards to senior leadership, offering insights on the technology roadmap, solutions, and adoption.

• Operational Management & Compliance: Oversee vendors, budgets, performance, risk, and compliance for scientific computing platforms and initiatives. Ensure inspection‑ready delivery through validated systems, documented processes, required training, and adherence to SOPs and quality standards. Ensure compliance and quality for self and team, complete necessary SOPs, training, job aids, track project time, and deliver timely, high-quality results.
   

Qualifications / Requirements:

Education:

• Minimum of a Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field with 12+ years of experience is required

• Ph.D in Computer Science, Data Science, Statistics, or a related quantitative field with 10+ years of experience is preferred
   

Required:

• Demonstrated leadership of scientific computing platforms, solution architecture, and enabling technologies across infrastructure, AI/ML, and advanced analytics.

• Deep knowledge of enterprise computing architectures (cloud and/or HPC), data pipeline, analytics ecosystems, and platform governance, with sufficient technical fluency and programming literacy (e.g., Python, R, SAS or similar) to guide and evaluate solutions.

• Proven track record delivering measurable outcomes through technology adoption, organizational change, and platform scaling in regulated R&D environments.

• Skilled in leading cross-functional teams and managing initiatives involving multiple stakeholders.

• Excellent communication and influencing skills with senior stakeholders.

• Ability to operate effectively in a fast‑paced environment with sound judgment and minimal supervision.

• Ability to travel between J&J sites both domestic and international at least 10% is required.

Preferred:

• Minimum of 4-6 years of people leadership (includes indirect / matrixed leadership) in complex, global organizations

 

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.

 

#LI-Hybrid

 

 

Required Skills:

 

 

Preferred Skills: