A Senior Software Engineer role focused on research, advanced data architecture, and digital twins within complex manufacturing and lithium-ion battery technology environments.
Compensation
Base salaries which exceed local & national industry averages. Year-end performance-based bonuses.
Responsibilities
Conduct research and learn advanced concepts across engineering disciplines
Communicate findings to experts and non-experts
Design and maintain data models and digital architectures
Apply machine learning and AI to optimize manufacturing processes
Integrate digital twins and simulation data
Requirements
Bachelor's degree in Computer Science, Software/Electrical Engineering
Lead 3Cloud’s Data Governance Platforms practice, shaping strategy, growth, market positioning, and performance.
Responsibilities
Own the practice vision, strategy, business plan, portfolio, operating model, investment roadmap, and performance metrics aligned to 3Cloud, Cognizant, Microsoft, and client priorities.
Define market positioning, priority buyers, offerings, commercial models, differentiated value proposition, and collaboration boundaries across related data, AI, security, and industry teams.
Translate Microsoft’s Frontier direction into a coherent portfolio for trusted data, governance modernization, Fabric and OneLake adoption, Copilot readiness, AI governance, agent control, and enterprise context.
Build the leadership bench, reusable IP, partner ecosystem, and delivery capability required to scale the practice profitably.
Own go-to-market planning and demand creation with account teams, Microsoft, Cognizant, alliances, marketing, and industry leaders.
Requirements
Bachelor’s degree or equivalent practical experience
A specialist role focused on pivoting data strategy from application-centric silos to a unified, data-centric ecosystem, leading the design and implementation of ontologies and semantic layers.
Responsibilities
Lead the design and implementation of ontologies and semantic layers
Own and define the metadata management strategy
Ensure data is discoverable, traceable, and governed
Act as a technical leader within the designated technical area
Drive the development of the technical area and anticipate future trends
Requirements
Degree in Computer Science, Engineering, or Physics field
Senior executive leadership role to shape and drive enterprise-aligned AI strategy for Immunology R&D and translate that strategy into an executable, value-focused portfolio of AI capabilities, data products, and AI solutions.
Locations (6)
Cambridge, Massachusetts, United States
New Brunswick, New Jersey, United States
Raritan, New Jersey, United States
San Diego, California, United States
Spring House, Pennsylvania, United States
Senior Director, Immunology- AI Systems
Johnson & Johnson Innovative Medicine · Posted Nov 6, 2026
Senior executive leadership role shaping and driving enterprise-aligned AI strategy for Immunology R&D and translating that strategy into an executable, value-focused portfolio of AI capabilities, data products, and AI solutions.
Owns development and delivery for OCLC’s data ingest and enrichment services and the integration of WorldCat data across products, advancing modernization of data infrastructure and services.
Responsibilities
Oversees market analysis and develops product strategy and business cases for WorldCat
Assesses new technology and adds value to existing products by improving features to create best in class solutions, build and scale platform capabilities, and reduce costs
Produces and maintains the product roadmap
Collaborates on release plans with Development
Collaborates with Finance on budgets and forecasts
Requirements
Bachelor's degree or equivalent experience
Nice to have: Master’s in library & information science
Nice to have: library services
Nice to have: library management systems
Nice to have: knowledge of linked data / semantic web concepts
Senior Staff AI Scientist focused on AI Reasoning within the AI Accelerator, leading scientific strategy, evaluation, and cross-disciplinary collaboration.
Responsibilities
Translate strategy into a scientific roadmap and success criteria
Strengthen AI-generated hypotheses with evidence and biological context
Lead development of evaluation and benchmarking approaches
Partner with computational biology and human genetics
Provide senior matrix leadership and mentorship
Requirements
PhD in Computational Biology, Bioinformatics, Machine Learning or a closely related field
Nice to have: AI model development
Nice to have: build/buy/co-develop options for scientific AI capabilities
Nice to have: regulatory expectations around AI-derived evidence in life sciences
Responsible for definition, governance and stewardship of Argus semantic assets, including ontologies, taxonomies, thesauri, glossaries, controlled vocabularies and semantic reference data.
Compensation
Competitive salary and company bonus scheme
Responsibilities
Define semantic requirements and evaluate candidate concepts for governance and modelling
Design and maintain ontologies, taxonomies, thesauri, glossaries and controlled vocabularies
Operate semantic governance processes and approval workflows
Manage the lifecycle of semantic assets from proposal through retirement
Conduct quality reviews, impact assessments and change management activities
The anticipated base pay range for this position is : $204,000.00 - $351,900.00
Responsibilities
Define and maintain the Immunology AI strategy
Lead strategic portfolio planning for Immunology AI
Create an integrated execution model across Immunology and enabling functions
Partner with Immunology scientific and development leaders
Provide technical leadership and informed challenges on AI solution design
Requirements
Advanced degree (PhD, MD, PharmD, MS, or equivalent experience) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related scientific or technical discipline
The anticipated base pay range for this position is : $204,000.00 - $351,900.00
Responsibilities
Define and maintain the Immunology AI strategy
Lead strategic portfolio planning for Immunology AI
Create an integrated execution model across Immunology and enabling functions
Partner with Immunology scientific and development leaders
Provide technical leadership and informed challenges on AI solution design
Requirements
Advanced degree (PhD, MD, PharmD, MS, or equivalent) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related scientific or technical discipline
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