Manager Technical Platform Management

Johnson & Johnson Innovative Medicine
•$102,000 - $175,950

About The Position

Johnson & Johnson Innovative Medicine Research & Development is seeking a technical platform manager for its R&D Advanced Computing team, part of the R&D Engineering organization. The team delivers technology solutions for Innovative Medicine R&D, partnering with business stakeholders across the solution lifecycle—from defining business value and user stories through architecture, implementation, and deployment. Its mission is to architect, design, and implement high-performing, scalable, reusable, and cost-optimized technology that enables business value and accelerates medicines to patients. The role provides technology and organizational leadership for programs and technology strategy roadmaps, partners with business stakeholders, and delivers solutions across the Digital Imaging ecosystem and related disciplines. The position may be based in Raritan, New Jersey; Spring House, Pennsylvania; or Beerse, Belgium, and the description also states that it can be fully remote. The manager will guide Digital Imaging platform capabilities for pharmaceutical research and development, work with a broad range of scientific and technical partners, and lead the team’s technology stack and operational models. The role includes people leadership, including developing, supporting, and motivating direct reports and the broader team.

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Bioinformatics, Computational Science, or a related field and at least 6 years of industry experience; alternatively, a master’s degree in one of these fields and at least 4 years of industry experience.
  • Demonstrated ability to lead teams, programs, and projects and apply business acumen to create new opportunities.
  • Experience with AWS EC2 and S3.
  • Experience with Windows platform functionality.
  • Vendor management experience.
  • Experience working on cross-functional and global teams.
  • Experience working in a fast-paced, collaborative environment.

Nice To Haves

  • Experience with visualization technologies and techniques.
  • Experience with Python, Java, C++, or another complex programming language.
  • Experience with Linux platform functionality.
  • Familiarity with imaging technologies such as PACS or similar image management solutions, and/or related image analysis technologies.
  • Experience working with Agile methodology.
  • Experience with Chef for configuration management.
  • Experience with container functionality such as Docker, Singularity, or Kubernetes, and AWS EKS.
  • Experience with GPUs for computational sciences, advanced AI/ML/deep learning image analysis, or predictive model training.
  • Experience with high-performance storage solutions.
  • Experience implementing GxP projects.
  • Experience with AWS RDS.
  • Experience with AWS Lambda.
  • Experience with high-performance computing cluster technologies such as Grid Engine or Slurm.
  • Experience with other major cloud providers such as Microsoft Azure or Google Compute Engine.
  • Experience with advanced Windows platform functionality.

Responsibilities

  • Contribute to setting technology strategy and roadmaps, and lead and implement deployments for Digital Imaging areas, including Digital Pathology, Digital Radiology, and Clinical Imaging.
  • Maintain partnerships with business partners in Pre-Clinical Sciences & Translational Safety, Oncology, Neuroscience, Immunology, Data Sciences, Molecular Imaging, and other areas based on demand.
  • Identify high-opportunity and high-impact applications for Digital Imaging technology platforms in pharmaceutical R&D; create and deliver success measures; and execute platform capabilities.
  • Collaborate across the IT organization, engage and influence sector and enterprise technology leadership, and partner with the external Life Sciences imaging community.
  • Drive the team's technology stack, including scheduling, communication, monitoring, reporting, alerting, deployment, orchestration, configuration management, infrastructure, reuse, and reproducibility capabilities.
  • Leverage cloud computing capabilities to deliver effective solutions.
  • Establish sustainable long-term operational processing and resource models.
  • Monitor changes in technology and apply containerization, serverless computing, and accelerated AI, machine learning, deep learning, or agentic AI where appropriate to deliver business value.
  • Lead, develop, support, and motivate direct reports and the broader team.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short- and long-term disability insurance
  • Business accident insurance
  • Group legal insurance
  • Pension plan
  • 401(k) savings plan
  • Vacation: 120 hours per calendar year
  • Sick time: 40 hours per calendar year, or 56 hours per calendar year for Washington residents
  • 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 a child's birth, adoption, or foster care placement
  • Condolence leave: 30 days for an immediate family member and 5 days for an extended family member
  • Caregiver leave: 10 days
  • Volunteer leave: 4 days
  • Military spouse time-off: 80 hours
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service