Raritan, New Jersey, United States
Hybrid
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 jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Technology Product & Platform ManagementJob Sub Function:
AgileJob Category:
Scientific/TechnologyAll Job Posting Locations:
Limerick, Ireland, Raritan, New Jersey, United States of AmericaJob Description:
We are searching for the best talent for a Lead Engineer, Evidence Management candidate to be located in either Raritan, NJ, or Limerick, Ireland.
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
Raritan, NJ, and Limerick, Ireland.
Limerick, Ireland - Requisition Number: R-097658
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
Lead Engineer, Evidence Management Digital Ecosystem
Scientific Affairs and Regulatory Affairs | Appian-first engineering and application architecture leadership
Lead Engineer, Evidence Management Digital Ecosystem
Scientific Affairs and Regulatory Affairs | Appian-first engineering and application architecture leadership
Fueled by innovation at the intersection of biology and technology, we are developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
This is primarily a hybrid role for candidates currently based within commuting distance of a Johnson & Johnson office in the United States (preferably New Jersey). Remote candidates may also be considered on a limited basis if they hold strong credentials and required experience.
The Lead Engineer, Evidence Management is responsible for engineering leadership, application architecture, and delivery governance for the Evidence Management digital ecosystem spanning Scientific Affairs and Regulatory Affairs.
This is primarily an Appian-first, AI-enabled, and ecosystem-oriented engineering role. The successful candidate must bring strong hands-on and strategic experience with Appian platform architecture, Appian solution design, Appian integrations, application architecture, engineering quality practices, and SAFe delivery. Most work expectations remain primarily focused on the Regulatory Affairs domain, with Scientific Affairs included as an adjacent and expanding evidence management stakeholder group.
Mandatory Capability Requirement: Candidates will be evaluated for demonstrated ability to engineer, architect, and deliver secure, compliant, scalable solutions that create measurable business value for Regulatory Affairs and support evidence management needs across Scientific Affairs. Appian technology skills are mandatory for this position.
· Own and maintain the application architecture strategy and engineering roadmap for evidence management capabilities across Regulatory Affairs and Scientific Affairs.
· Design scalable, interoperable, and compliant solutions across regulatory platforms, Appian applications, data flows, workflows, integrations, content repositories, and analytics capabilities.
· Translate complex regulatory and scientific evidence processes into practical application designs, engineering patterns, data models, and delivery backlogs.
· Drive design governance for new capabilities, major enhancements, technical debt remediation, platform modernization, and cross-system interoperability.
· Ensure solution designs align with enterprise standards for cloud, cybersecurity, privacy, lifecycle management, supportability, and technical sustainability.
· Lead engineering and application architecture for Appian-based regulatory workflow, evidence case management, process automation, integration, records, reporting, and user experience capabilities and define Appian design standards
· Maintain deep understanding of Regulatory Affairs operating processes and technology needs across planning, submissions, regulatory intelligence, workflow orchestration, post-approval activities, content management, compliance, and analytics.
· Ensure evidence management capabilities support traceability, auditability, role-based access, status visibility, decision history, and inspection-ready records where required.
· Extend the evidence management architecture and engineering patterns to support Scientific Affairs use cases such as evidence intake, evidence evaluation, collaboration workflows, knowledge search, scientific content traceability, and analytics.
· Identify common process, data, content, workflow, and integration patterns that can be reused across Scientific Affairs and Regulatory Affairs while respecting domain-specific controls.
· Define the AI-enabled engineering roadmap for evidence management, including Generative AI, Machine Learning, NLP, semantic search, knowledge graphs, agentic workflows, and intelligent automation where appropriate.
· Guide proof-of-concepts, pilots, and scaled implementations for AI capabilities with clear business value, security, usability, and compliance controls.
· Establish patterns for monitoring, hallucination risk mitigation, source traceability, human-in-the-loop review, prompt/version governance, and model performance evaluation.
· Define data architecture principles for evidence metadata, Appian data models, regulatory master data, scientific evidence content, operational data, unstructured content, and analytics-ready data products.
· Establish engineering standards for APIs, event-driven integration, workflow orchestration, data lineage, data quality, access control, and platform interoperability.
· Ensure engineering and architecture decisions support GxP, SOX, privacy, cybersecurity, auditability, data integrity, validation or qualification expectations, and regulated SDLC or computerized system assurance practices.
· Partner with Quality, Security, Privacy, Regulatory Affairs, Scientific Affairs, and Data Governance stakeholders to assess technology, Appian-specific, evidence-management-specific, and AI-specific risks.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
#JNJTECH
#LI-Hybrid
Required Skills:
Preferred Skills:
Agile Methodology, Agile Product Development, Agile Software Development, Agile Workforce, Analytics Dashboards, Change Control Management, Coaching, Critical Thinking, Diplomacy, Emotional Intelligence, Human-Computer Interaction (HCI), Organizational Design, Organizing, Program Management, Risk Management, Software Development Management, Technical Writing
The anticipated base pay range for this position is :
$102,000 - $175,950Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 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 Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefitsWant to know if this job is worth applying to?
