Automation Technical Product Manager, Protein Development

Johnson & Johnson Johnson & Johnson · Pharma · Spring House, PA +2

Johnson & Johnson Innovative Medicine, R&D is seeking an Automation Technical Product Manager, Protein Development to redefine global protein therapeutic development labs into data-centric highly automated labs of the future. The role focuses on end-to-end data flow integration, implementation of digital strategies for Digital Twin technology, and ensuring technical solutions drive best science and FAIR data. Responsibilities include owning end-user facing tools, managing SaaS/OPx/VPx applications, delivering digital solutions for process automation, building digital roadmaps, and collaborating with cross-functional teams. Requires a Bachelor's degree, 5+ years of experience in technical scientific solutions within pharma, proficiency in AWS, strong IT skills including AI/ML and database design, GxP data systems experience, and programming skills (Python, Java, R).

What you'd actually do

  1. Own end-user facing tools for services including but not limited to: computational fluid dynamics modeling, in silico drug development tools, cell engineering analyses, and digital automation programs; modernize the AWS landscape to ensure security, containerization, and cost-efficiency.
  2. Technical Owner of SaaS and OPx/VPx based applications for lab operating and analysis technologies; coordinate server install and upgrades for bioreactor systems such as Ignition and BioBrain.
  3. Deliver innovative digital solutions for process automation, standardization and integration with digital platform architecture; drive lean documentation practices in accordance with SDLC.
  4. Work with functional teams to build digital roadmaps for E2E data flows from collection to consumption, including action plans and resourcing/funding proposals for capital and operating expenses.
  5. Collaborate across business areas with partners, vendors, technical staff and project teams to drive value and deploy innovative solutions.

Skills

Required

  • 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.
  • Experienced in SDLC for GxP data systems.
  • Understanding data flows between end-users, instruments and execution systems.
  • Knowledge of network connection setup to support R&D labs (firewalls, server connections, cyber security).
  • Experience with programming language for data integration and extraction (Python, Java, R..).
  • Commercial software technical management and vendor relationship.
  • Agile methodology approach and project management tools (e.g., JIRA, Confluence, Asset Management, BitBucket/GitHub).
  • Ability to interpret complex requirements and derive actionable insights.
  • Superb communication & ability to influence, negotiate, and build partnerships, teams, and trust across functions.

Nice to have

  • Experience in a scientific, digital product, or lab operations environment, specifically biologic drug development or R&D.
  • Commercial software deployments or upgrades at a global scale.
  • Experienced with ISA-88/95 and ability to establish standards across global sites.
  • Working understanding of OPC Unified Architecture and Event/Asset Framework.
  • Experience in leading a team of external resources.
  • Understanding of data lakes, eLab Notebooks and historians.
  • Data connections to support PAT (spectral data etc), experience with SynTQ or Process Pulse.

What the JD emphasized

  • end-user facing tools
  • digital strategies
  • data-centric highly automated lab
  • end to end data flow
  • digital twin technology
  • SDLC for GxP data systems
  • AI/ML