Associate Director, Global Real World Evidence (RWE)
Associate Director, Global Real World Evidence (RWE) - 2406221947WDescriptionJohnson & Johnson Innovative Medicine is recruiting an Associate Director, Global Real World Evidence, located in Raritan, NJ.At Johnson & Johnson Innovative Medicine, 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/ .In this position, the Associate Director, Global Real World Evidence, will support strategy development and execution of industry-leading RWE capabilities and talent development across the Janssen Global Commercial Strategy Organization (GCSO). This individual will report directly to the Senior Director/Director, Global Real World Evidence, and partner closely with RWE Researchers and Programmers in the GRWE Analytic Hub, to optimize our global go-to-market launch planning strategies through innovative and highly strategic decisions and investments using RWE.This individual will also manage key partnerships, liaising with GCDS verticals as well as cross-functional and regional partners from Global Medical Affairs, Global Market Access, Global Marketing, Global Epidemiology, J&J Technology Data Sciences, Janssen R&D Data Science, reginal medical affair and evidence generation functions, and others.Other key responsibilities are as follows:
Support the development of the global strategy for the generation and utilization of RWE for our key pipeline assets including, for example, data-driven patient journeys and deep understanding of unmet medical needs
Build strong partnership with Global Medical Affairs, Global Market Access and other cross-functional Integrated Evidence Generation Planning (IEG) partners, co-create the RWE strategies.
Lead RWE research studies other RWE-related projects for multiple JNJ products, as aligned with cross-functional partners for business needs.
Lead Researchers and Programmers within the GRWE Analytic Hub in executing strategies to generate evidence and demonstrate value for Johnson & Johnson products, from concept through publication.
Identify and share best practices regarding methods of RWE studies. Further expand the internal Janssen/J&J knowledge and capacity to use evolving methodologies in RWE studies, using various training approaches and best practice sharing.
Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools developed for business partners.
Contribute to refining governance processes and contributing to local and global standards in methodologies.
Analyze and interpret data to support urgent requests from internal and external stakeholders.
Lead the coordination and execution of Evidence Labs and work with the rest of the RWE team members to build our learnings and strive for continuous improvements of the labs.
Represent GRWE team on assigned cross-functional franchise teams with internal partners such as Global Medical Affairs, Global Market Access, Global Marketing, Global Epidemiology, J&J Technology Data Sciences, Janssen R&D Data Science, reginal medical affair and evidence generation functions, and others.
Ensure compliance with regulatory, legal and commercial regulations in conducting research and disseminating scientific information.
Qualifications
A minimum of a Master's Degree is required, in Public Health, Health Services Research, Economics, Epidemiology, Health Policy or related field. An Advanced Degree, Doctorate Degree is preferred (PhD, PharmD or MD).
A minimum of 5 or more years of relevant experience is required.
Experience with RWE in a commercial, medical affairs, scientific affairs and/or R&D environment is required.
Exposure to outcomes-based strategies and tactics to meet both commercial and scientific objectives for a given product is required.
Experience in executing projects with highly technical data and communication of results internally and externally to technical and non-technical audiences is required.
Working knowledge of and/or experience with the reimbursement environment for key international markets is preferred.
Excellent communication and training skills is required.
Hands-on experience with programming in major statistical analysis systems, such as SAS, R, and Python is required.
Expertise working with claims databases and electronic medical (health) records is required.
Significant prior publication track record in epidemiology, clinical, statistical and/or health economic journals is required.
This position is located in Raritan, NJ and will require 10% for mostly domestic travel.
The anticipated base pay range for this position is $137,000 to $235,750 USD.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporations performance over a calendar/performance year. Bonuses are awarded at the Companys discretion on an individual basis.
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.Working with Johnson & Johnson can change everything. Including YOU.#JNJDataScience#JNJIMCommercial-DShttps://www.careers.jnj.com/data-sciencePrimary Location NA-US-New Jersey-RaritanOrganization Janssen Global Services, LLC (6085)Relocation Eligible: Yes - Within CountryJob Function Data ScienceReq ID: 2406221947W