Automation Technical Product Manager, Protein Development

Johnson & Johnson

. Redefine global protein therapeutic development labs into highly automated, data-centric labs .

Posted 9/17/2026full-timeSpring House • Pennsylvania • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AWS cloud services, data engineering, and automation within the pharmaceutical industry, with a strong focus on digital solutions and process optimization. Proven ability to lead technical projects, manage vendor relationships, and drive organizational change through effective collaboration and communication.

Highest-signal resume keywords

AWS S3, EC2, LambdaData EngineeringSDLC for GxP Data SystemsPython, Java, or RAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationCloud ComputingDatabase DesignDigital AutomationComputational Fluid Dynamics ModelingCell Engineering AnalysesLean Documentation PracticesTechnical Scientific SolutionsNetwork Connection SetupCybersecurity

Soft Skills

InfluencingNegotiationTeam BuildingPartnership DevelopmentCommunication

Tools & Technologies

JIRAConfluenceBitBucketGitHubAsset Management

Industry Keywords

BiotechnologyPharmaceuticalBiologic Drug DevelopmentR&DCommercial Software Management

Tech Stack

Tools & technologies

AWSCloudCyber SecurityEC2FirewallsJavaPythonSDLC

About the role

Key responsibilities & impact

Redefine global protein therapeutic development labs into highly automated, data-centric labs
Own end-user-facing tools for computational fluid dynamics modeling, in silico drug development, cell engineering analyses, and digital automation programs
Modernize the AWS landscape for security, containerization, and cost efficiency
Serve as technical owner of SaaS and OPx/VPx applications for lab operating and analysis technologies
Coordinate server installations and upgrades for bioreactor systems such as Ignition and BioBrain
Deliver digital solutions for process automation, standardization, and integration with digital platform architecture
Drive lean documentation practices in accordance with SDLC
Build digital roadmaps for end-to-end data flows from collection to consumption
Develop action plans and resourcing/funding proposals for capital and operating expenses
Collaborate with business areas, partners, vendors, technical staff, and project teams to deploy innovative solutions
Review business needs, refine priorities, and champion organizational change
Establish Outcomes & Key Results and metrics to evaluate performance and user happiness
Apply Johnson & Johnson’s Credo and Leadership Imperatives in daily interactions

Requirements

What you’ll need

Bachelor’s degree required, preferably in Biotechnology, Computer Science, Systems/Automation Engineering, or a related subject area
Minimum 5 years’ experience enabling technical scientific solutions within the pharmaceutical or like industry
Proficiency in AWS S3, EC2, Lambda, cost management, and modernization
Strong foundational IT skills including architecture principles, data engineering, cloud computing, AI/ML, and database design
Experience with SDLC for GxP data systems
Understanding of data flows between end-users, instruments, and execution systems
Knowledge of network connection setup supporting R&D labs, including firewalls, server connections, and cybersecurity
Experience with Python, Java, or R for data integration and extraction
Commercial software technical management and vendor relationship experience
Agile methodology and project management tools such as JIRA, Confluence, Asset Management, and BitBucket/GitHub
Ability to interpret complex requirements and derive actionable insights
Ability to influence, negotiate, and build partnerships, teams, and trust across functions
Preferred: experience in scientific, digital product, or lab operations environments, especially biologic drug development or R&D
Preferred: commercial software deployments or upgrades at global scale
Preferred: experience with ISA-88/95 and establishing standards across global sites
Preferred: working understanding of OPC Unified Architecture and Event/Asset Framework
Preferred: experience leading external resources
Preferred: understanding of data lakes, eLab Notebooks, and historians
Preferred: PAT data connections and experience with SynTQ or Process Pulse

Benefits

Comp & perks

Inclusive work environment
Equal opportunity employment
Interview process accommodations for applicants with disabilities
Up to 10% travel