Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science
Job Category:People Leader
All Job Posting Locations:Raritan, New Jersey, United States of America
Job Description:We are searching for the best talent for Associate Director, Global Real-World Evidence, Oncology to be in Raritan, NJPurpose:In this position, the Associate Director, Global Real-World Evidence, Oncology, will support the development and execution of global RWE strategies and high-priority evidence-generation programs across the oncology portfolio. Reporting directly to the Senior Director, Global Real-World Evidence, Oncology, this individual will work under the strategic guidance of the Global RWE Disease Leads to help translate asset- and disease-area evidence priorities into timely, high-quality RWE studies and deliverables that support market shaping, medical adoption, access, and evidence-based decision-making. The Associate Director will partner closely with RWE Researchers, Programmers in the GRWE Analytic Hub, cross-functional collaborators, regional and local evidence-generation teams, and external vendors to ensure scientific rigor, operational excellence, and effective dissemination of RWE. This individual will also support the Disease Leads in stakeholder management across IEGP, long-range Worldwide RWE Roadmap development, RWE Working Groups, and project execution forums.
You will be responsible for: - Support the Global RWE Disease Lead in developing and maintaining Integrated Evidence Generation Plans and long-range Worldwide RWE Roadmaps for assigned disease areas and assets, ensuring alignment with Global Core Asset Strategy, evidence gaps, regional priorities, and key stakeholder needs.
- Drive high-quality execution of priority RWE studies and evidence-generation projects under the strategic guidance of the Disease Lead, ensuring timely delivery, scientific rigor, operational excellence, and appropriate interpretation and dissemination of study outputs to maximize the impact of RWE.
- Collaborate closely with RWE Researchers, Programmers in the GRWE Analytic Hub, cross-functional partners, regional and local evidence-generation teams, and external vendors to translate study concepts into protocols, analyses, deliverables, publications, and other evidence-dissemination materials.
- Support the Disease Lead in global and regional stakeholder management across cross-functional workstreams, RWE Working Groups, Evidence Labs, and project execution forums.
- Serve as a methodology subject matter expert in assigned cross-functional workstreams, providing scientific input on real-world data sources, observational study designs, analytic approaches, fit-for-purpose evidence methods, and best practices to strengthen scientific excellence.
- Analyze, interpret, and synthesize real-world data, literature, competitive evidence, and stakeholder insights to inform evidence-gap assessments, strategic trade-off discussions, urgent business requests, and cross-functional decision-making.
- Contribute to GRWE operational governance, standards, processes, and operating models by supporting prioritization, resource planning, deliverable tracking, review processes, vendor oversight, and consistency across disease- and asset-level RWE activities.
- Ensure assigned RWE activities are conducted in compliance with applicable regulatory, legal, privacy, publication, and commercial requirements while upholding high standards for scientific integrity, responsible communication, and evidence dissemination.
Qualifications / Requirements:- An advanced degree in epidemiology, pharmacoepidemiology, health economics and outcomes research, public health, biostatistics, health policy, health services research, or a related field is required; a PhD is preferred.
- A minimum of 5 years of relevant experience in the pharmaceutical, biotechnology, consulting, academic, or healthcare environment is required, with experience in real-world evidence, epidemiology, outcomes research, medical affairs, market access, or related functions.
- Demonstrated experience supporting the design and execution of RWE studies, including observational studies, retrospective database analyses, evidence synthesis, protocol development, analytic planning, interpretation of results, and scientific dissemination. Experience with global, multi-country RWE studies is preferred.
- Strong working knowledge of real-world data sources and fit-for-purpose RWE methods is required, including claims databases, electronic health records, registries, chart reviews, and other healthcare data sources.
- Ability to provide methodological input on observational study design, analytic approaches, bias mitigation, data interpretation, and communication of RWE findings to technical and non-technical audiences is required.
- Experience collaborating with programmers, statisticians, epidemiologists, RWE researchers, cross-functional partners, and external vendors to execute data-driven research projects is required; hands-on experience with SAS, R, Python, or other statistical programming tools is preferred.
- Strong project management skills are required, including the ability to manage timelines, coordinate deliverables, track decisions and actions, support governance processes, and drive execution in a matrixed global environment.
- Strong communication, presentation, and scientific writing skills are required, with the ability to translate complex research concepts and data-driven insights into clear messages for internal and external stakeholders.
- Experience contributing to publications, congress presentations, internal evidence-generation deliverables, or other scientific communication outputs is required; oncology experience is strongly preferred.
- Working knowledge of the global healthcare, reimbursement, payer, medical affairs, and evidence-generation environment is preferred, particularly as it relates to oncology product strategy and stakeholder evidence needs.
- This position is located in Raritan, NJ, and will require approximately 10% travel, primarily domestic with some international travel as needed.
#JNJDataScience #LI-Hybrid
Required Skills:Preferred Skills:Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management
The anticipated base pay range for this position is :The anticipated base pay range for this position is $137,000 and $235,750 USD.
Additional 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)). 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 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-benefits
