Senior Laboratory Data Automation ARCHITECT, R&D Therapeutics Discovery

Johnson & Johnson
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
C Sharp (Programming Language)
Cloud Computing
Information Engineering
Data Governance
Data Integrity
Data Visualization
Electronic Data Interchange (EDI)
Middleware
R
Python
Knowledge Management
Laboratory Information Management Systems
Robotic Automation Software
Software Engineering
Software Systems
Data Streaming
Systems Integration
Diagnostic Tools
Scripting (Bash/Python/Go/Ruby)
Information Technology
Data Analytics
Performance Monitor
Data Management
Programming Languages

Job description

The Laboratory Data Automation Architect acts as the keystone of automation projects, ensuring that scientific workflows, hardware deployment, software development, and systems integration are all aligned, defined, and interoperable within Johnson & Johnson's laboratory infrastructures. This role combines scientific acumen with expert-level capabilities in automation design, platform management, and cross-functional collaboration to deliver integrated, scalable, and compliant automation solutions across modality agnostic Therapeutics Discovery., Architectural leadership

  • Design and govern scalable, robust automated scientific workflows that span hardware, software, data, and networking layers.
  • Define critical data entities and data flows to enable seamless transitions between disparate components and future-ready extensions.
  • Establish and promote best practices for API/SDK usage, data models, and integration standards across internal and external tools.

Program and project execution

  • Lead end-to-end automation initiatives from concept through deployment, validation, and ongoing optimization.
  • Align projects with strategic objectives, timelines, budgets, and risk management in a global, matrixed environment.
  • Define and maintain platform roadmaps, governance, change control, and documentation.

Hardware and software integration

  • Identify and select instrumentation and software solutions based on scientific merit and ease of integration.
  • Capably orchestrate the integration of lab instrumentation, high-throughput systems, robotics, ELN/LIMS, MES/OT, and data analytics platforms.
  • Oversee system integration, including scheduling software, middleware, APIs, and data exchange protocols.

Data management, security, and compliance

  • Ensure data quality, lineage, traceability, security, and compliance (IT/OT security and relevant standards).
  • Implement proactive monitoring, diagnostic tools, and maintenance regimes to minimize downtime and risk.
  • Develop runbooks, validation plans, and documentation to support audits and inspections.

Vendor and ecosystem engagement

  • Engage with hardware and software vendors to define standards, roadmaps, and interoperable solutions.
  • Communicate industry standards to drive external development toward aligning with J&J needs and the broader industry.

Leadership and collaboration

  • Lead and develop global, cross-functional teams (engineering, IT, data science, research, and operations) in a matrix setting.
  • Foster an automation-centred culture, supporting internal & external staff, and promoting continuous learning.
  • Build strong partnerships with internal stakeholders and external partners to accelerate impact.

Innovation and capability building

  • Stay current with emerging automation technologies, data architectures, and analytics methods.
  • Explore opportunities in cloud, edge, AI/ML, digital twin, and advanced analytics to enhance scientific workflows.

Documentation and knowledge management

  • Maintain comprehensive architecture diagrams, specifications, standards, and training materials.
  • Ensure available, accessible documentation for users, operators, and support teams., * High-availability, scalable automation platforms with measurable improvements in throughput and data quality.
  • Clear, standardized data models and workflows that enable seamless collaboration across sites.
  • Reduced integration friction, lower maintenance costs, and faster time-to-delivery for scientific programs.
  • Strong vendor relationships and an active pipeline of external developments aligned with J&J needs.
  • A thriving, skilled team with clear career progression and a culture of continuous improvement.

Requirements

Do you have experience in Research?, Do you have a Master's degree?, * Education: Master's degree in engineering, computer science, life sciences, or a closely related field.

  • Experience: 10+ years in R&D automation and platform management.
  • Domain expertise: Proven track record deploying and operating advanced automation platforms in laboratory or research environments; familiarity with laboratory instrumentation and analytical techniques.
  • Systems & integration: Broad experience with robotics, high-throughput screening, LIMS/ELN, data management systems, and end-to-end system integration (scheduling software, APIs, middleware, data exchange).
  • Leadership: Demonstrated ability to lead global, matrixed teams and manage multiple initiatives simultaneously.
  • Communication: Excellent interpersonal and stakeholder-management skills; ability to translate complex technical concepts to diverse audiences.
  • Governance & quality: Familiarity with validation, change control, documentation, machine safety and regulatory considerations relevant to life sciences (IT/OT security).
  • Fluency in English, both written and oral, * Industry exposure: Experience in pharmaceutical research, biotech, or medical device environments
  • Technical breadth: Knowledge of LIMS/ELN systems, data visualization, and analytics toolsets; experience with programming languages such as Python, R, C#, or Java; scripting for automation.
  • Cloud and data: Experience with cloud platforms (AWS, Azure) and data orchestration/workflow tooling.
  • Data governance: Strong understanding of data integrity, lineage, security frameworks, and scalable data architectures.
  • Soft skills: Strong analytical mindset, problem-solving agility, and a collaborative leadership style., Application Programming Interface (API), Cross-Platform Development, Data Engineering, Programming Languages, Robotic Automation

Preferred Skills: Critical Thinking, Data Management and Informatics, Epidemiology, Ethical and Participant Safety Considerations, Inventory Management, Laboratory Operations, Laboratory Safety, Mental Agility, Preclinical Research, Problem Solving, Process Improvements, Research and Development, Standard Operating Procedure (SOP), Strategic Thinking, Technical Credibility, Vendor Management

About the company

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

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