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:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob Description:
Company Overview
Johnson & Johnson Innovative Medicine (J&J IM) develops treatments that improve the health and well-being of people worldwide. Research and development areas encompass oncology, cardiovascular and retina disorders, immunology, and neuroscience. Our goal is to help people live longer and healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market, from patients to practitioners and from clinics to hospitals. To learn more about J&J IM, please visit https://www.jnj.com/.
Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for a Senior Manager – Workflow, Applications & Plug-ins Team
This position has a primary location of Raritan / Titusville, New Jersey ; Spring House, Penssylvania. (US based). This is a hybrid role.
Role Summary
As an Senior Manager in the Workflow, Applications and Plug-ins team within Data, Data Science and AI Org, you will lead the engineering delivery of reusable GenAI applications and scientific workflows across R&D. Translate agreed product priorities into robust application designs, realistic delivery plans and maintainable releases. Provide technical leadership and coaching while partnering with Platforms, Innovation Engine, World Model, Data, AI Ops, AI Safety, evaluation and business teams.
Key Responsibilities
- Own the integrated application delivery plan, including milestones, engineering capacity, dependencies and release risks across approved use cases.
- Translate validated user stories into technical designs and work packages. Define application interfaces and document architecture decisions with platform and enterprise technology partners.
- Guide evidence-grounded generation, retrieval and agent workflow implementation. Evaluate build-versus-buy options using quality, integration effort, maintainability and cost.
- Establish code review, automated testing and application release practices. Incorporate evaluation standards, access controls, traceability and human-review requirements.
- Coordinate application integration with approved data products and vendor services. Agree clear handoffs for deployment, monitoring, incident response and ongoing support.
- Mentor scientists and engineers, review technical work and coordinate employees, contractors and federated contributors against agreed deliverables.
- Communicate delivery tradeoffs and capacity constraints to leadership. Propose scope sequencing when demand exceeds available resources.
- The role provides delivery and technical leadership. Formal line-management responsibilities follow the approved organization design.
Required Qualifications
- Master's degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field with 3+ years of hands-on experience in AI/GenAI Science/Engineering.
- Demonstrated experience delivering production software or AI applications and leading complex technical work across multiple contributors.
- Strong AI/Gen AI Scientists fundamentals, including Python or a comparable language, APIs, version control, testing and cloud application delivery.
- Practical understanding of large language models, RAGs, evaluation and the limitations of agentic workflows.
- Ability to reason about data access, security, reliability and maintainability, and to partner with specialists for implementation.
- Evidence of effective technical mentoring, stakeholder communication and prioritization under competing demands.
Preferred Qualifications
- Life-sciences R&D, scientific document workflows or other environments requiring traceable evidence and controlled human review.
- Reusable plugin architectures, workflow orchestration, enterprise integrations and management of vendor engineering contributions.
- Operational monitoring, regression testing and cost/performance optimization for AI-enabled applications.
- Experience fine-tuning LLMs for specialized domains and deploying AI systems in cloud environments (AWS or Azure).
- Strong understanding of statistical validation methods for AI-driven workflows.
- Experience with Git-based development and CI/CD pipelines.
Our Values
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.
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Required Skills:
Preferred Skills:
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical CredibilityThe anticipated base pay range for this position is :
$137,000.00 - $235,750.00Additional Description for Pay Transparency:
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)).This position is eligible to participate in the Company’s long-term incentive program.
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 Colorado –48 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
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
Skills Required
- Master's degree in AI/ML, Computer Science, Engineering, Bioinformatics, or a related field
- 3+ years of hands-on experience in AI, generative AI science, or engineering
- Experience delivering production software or AI applications
- Experience leading complex technical work across multiple contributors
- Strong AI and generative AI fundamentals, including Python or a comparable language, APIs, version control, testing, and cloud application delivery
- Practical understanding of large language models, retrieval-augmented generation, evaluation, and agentic workflow limitations
- Ability to reason about data access, security, reliability, and maintainability
- Technical mentoring, stakeholder communication, and prioritization experience
- Experience in life-sciences R&D, scientific document workflows, or environments requiring traceable evidence and controlled human review
- Experience with reusable plugin architectures, workflow orchestration, enterprise integrations, and vendor engineering contributions
- Experience with operational monitoring, regression testing, and AI application cost/performance optimization
- Experience fine-tuning large language models and deploying AI systems in AWS or Azure cloud environments
- Strong understanding of statistical validation methods for AI-driven workflows
- Experience with Git-based development and CI/CD pipelines
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines







