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Principal Engineer – Platform/Cloud Engineering
Johnson & Johnson. Set strategy and roadmaps and lead and implement technology deployments for Digital Imaging, including Digital Pathology, Digital Radiology, and Clinical Imaging .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Digital Imaging technology deployments, including Digital Pathology and Digital Radiology, while leveraging cloud computing and advanced AI technologies. Proven ability to collaborate across teams and maintain partnerships within the Life Sciences industry.
Highest-signal resume keywords
Digital Imaging Strategy DevelopmentAWS EC2 and S3 ExperienceLeadership in Cross-Functional TeamsAgile Methodology FamiliarityImaging Technologies Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaC++Linux PlatformsVisualization TechnologiesConfiguration ManagementMachine LearningDeep LearningContainerizationHigh-Performance Computing
Soft Skills
Team LeadershipBusiness AcumenCollaborationMotivationInfluencing Skills
Tools & Technologies
AWS EKSDockerKubernetesMicrosoft AzureGoogle Compute EnginePACSGrid EngineSlurmChefWindows Platforms
Industry Keywords
Digital PathologyDigital RadiologyClinical ImagingPharmaceutical R&DPre-Clinical SciencesTranslational SafetyOncologyNeuroscienceImmunologyData Sciences
Tech Stack
Tools & technologiesAWSAzureChefCloudDockerEC2JavaKubernetesLinuxPythonC++
About the role
Key responsibilities & impact- Set strategy and roadmaps and lead and implement 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 groups
- Identify high-opportunity areas for Digital Imaging technology platforms in pharmaceutical R&D
- Create and deliver success measures and execute Digital Imaging platform capabilities
- Collaborate across the IT organization and influence sector and enterprise technology leadership
- Partner externally 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, machine learning, deep learning, and agentic AI technologies
- Lead, develop, support, and motivate direct reports and the broader team
Requirements
What you’ll need- Minimum of a Bachelor’s degree in Information Technology, Computer Science, Bioinformatics, Computational Science, or related field and minimum of 6 years of industry experience; OR a Master’s degree in those fields and 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 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 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 with Chef for configuration management
- Bonus: experience with 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 with high-performance storage solutions
- Bonus: experience implementing GxP projects
- Bonus: experience with AWS RDS and AWS Lambda
- Bonus: experience with high-performance computing cluster technologies such as Grid Engine and Slurm
- Bonus: experience with Microsoft Azure and Google Compute Engine
- Bonus: experience with advanced Windows platform functionality
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 work option