Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science
Job Category:Scientific/Technology
All Job Posting Locations:Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:Company OverviewJohnson & 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 SummaryAs 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.
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#LI-Hybrid
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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 Credibility
The anticipated base pay range for this position is :$137,000.00 - $235,750.00
Additional 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