Director, Scientific Computing Operations

Johnson & Johnson

Director for Scientific Computing Operations at Johnson & Johnson. Leading strategy and delivery of scientific computing platforms and analytics solutions.

Posted 4/23/2026full-timeRaritan • New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $164,000 - $282,900 per yearWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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
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.
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.
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.
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.

Requirements

What you’ll need

Minimum of a Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field with 12+ years of experience
Ph.D in Computer Science, Data Science, Statistics, or a related quantitative field with 10+ years of experience is preferred
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.

Benefits

Comp & perks

medical
dental
vision
life insurance
short and long-term disability
business accident insurance
group legal insurance
pension plan
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 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 period
10 days Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

scientific computinganalyticsAI platformscloud computinghigh-performance computingdata pipelinePythonRSASadvanced analytics

Soft Skills

leadershipcommunicationinfluencingstakeholder engagementorganizational change managementdecision-makingrelationship buildingstrategic thinkingproblem-solvingadaptability

Certifications

Master’s degree in Computer ScienceMaster’s degree in Data ScienceMaster’s degree in StatisticsPh.D in Computer SciencePh.D in Data SciencePh.D in Statistics