Manager, Technical Platform Management

Johnson & Johnson

. Set strategy and roadmaps and lead technology deployments for Digital Imaging, including Digital Pathology, Digital Radiology, and Clinical Imaging .

Posted 10/15/2026full-timeRemote • United States, BelgiumMid-LevelSenior💰 $102,000 - $175,950 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureChefCloudDockerEC2JavaKubernetesLinuxPythonC++

About the role

Key responsibilities & impact

Set strategy and roadmaps and lead technology deployments for Digital Imaging, including Digital Pathology, Digital Radiology, and Clinical Imaging
Maintain partnerships with business partners across Pre-Clinical Sciences & Translational Safety, Oncology, Neuroscience, Immunology, Data Sciences, Molecular Imaging, and other areas
Identify opportunities and assess impact for Digital Imaging technology platforms in pharmaceutical R&D
Create and deliver success measures and execute Digital Imaging platform capabilities
Collaborate across IT, influence sector and enterprise technology leadership, and partner with the Life Sciences industry Imaging community
Drive the technology stack for scheduling, communication, monitoring, reporting, alerting, deployment, orchestration, configuration management, infrastructure, reuse, and reproducibility
Leverage cloud computing to deliver effective solutions
Establish sustainable operational processing and resource models
Evaluate and incorporate containerization, serverless, accelerated AI/ML/Deep Learning, and Agentic AI technologies
Lead, develop, support, and motivate direct reports and the broader team

Requirements

What you’ll need

A minimum of a Bachelor’s degree in Information Technology, Computer Science, Bioinformatics, Computational Science, or related field and a minimum of 6 years of industry experience; OR a Master’s degree in one of these fields and a minimum of 4 years of industry experience
Proven ability to lead teams, programs, and projects and apply business acumen to create new opportunities
Experience with AWS EC2 and S3
Experience with functionality of Windows platforms
Experience with vendor management
Experience working on cross-functional and global teams
Experience working in a fast-paced collaborative environment
Preferred: Experience with visualization technologies and techniques
Preferred: Experience with Python, Java, C++, or related complex programming language
Preferred: Experience with functionality of Linux platforms
Preferred: Familiarity with imaging technologies such as PACS or similar image management solutions and/or related image analysis technologies
Preferred: Experience working with Agile methodology
Bonus: Experience working with Chef for configuration management
Bonus: Experience with container functionality (Docker/Singularity/Kubernetes) and AWS EKS
Bonus: Experience with GPUs for computational sciences, advanced AI/ML/Deep Learning image analysis, and predictive model training
Bonus: Experience working with high-performance storage solutions
Bonus: Experience implementing GxP projects
Bonus: Experience with AWS RDS
Bonus: Experience with AWS Lambda
Bonus: Experience working with high-performance computing cluster technologies such as Grid Engine or Slurm
Bonus: Experience with Microsoft Azure and Google Compute Engine
Bonus: Experience with advanced functionality of Windows platforms

Benefits

Comp & perks

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))
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
Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours
Fully Remote option