Director, Scientific Computing Operations

Johnson & Johnson Innovative Medicine•Hopewell Township, NJ

18h•Hybrid

About The Position

The Director, Scientific Computing Operations at Johnson & Johnson is a people leader responsible for the strategy, delivery, adoption, and operational excellence of scientific computing, analytics, and AI-enabled platforms. These platforms are critical for decision-making within Statistics & Decision Sciences (SDS) and Quantitative Sciences and Clinical Pharmacology (QSCP). The role involves owning 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, collaborating with leaders across Strategic Business and Computing Operations (SBCO), SDS, QSCP, Clinical & Statistical Programming, Global Development, Enterprise IT, and Johnson & Johnson Innovative Medicine R&D to foster alignment, transparency, and shared accountability. This leader is expected to operate with a strong enterprise mindset, translating complex scientific and business needs into coherent, sustainable technology strategies that deliver measurable impact. The position is available in Raritan, NJ; Titusville, NJ; or Spring House, PA, and is also available across multiple countries.

Requirements

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

Nice To Haves

Ph.D in Computer Science, Data Science, Statistics, or a related quantitative field with 10+ years of experience is preferred.
Minimum of 4-6 years of people leadership (includes indirect / matrixed leadership) in complex, global organizations.

Responsibilities

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.
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.
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.

Benefits

Highly competitive, performance-based compensation programs
Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short and long-term disability insurance
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
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 period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year