Posted in General Business 4 days ago.
Type: Full-Time
Description
Kenvue is currently recruiting for:
Manager, Epidemiology & Real-World Evidence (RWE)
This position reports to Vice President Medical Affairs Americas and is based at Summit, NJ.
Who we are
At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we are the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson's, and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, enthusiastic about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours. For more information, click here .
Role reports to: Vice President Medical Affairs Americas
Location: Summit, NJ.
Travel %: 5
Pay: $141,000 - $192,000
What you will do
The Manager, Epidemiology & Real-World Evidence (RWE) is responsible for design and implementation of observational research studies utilizing real-world data (RWD) to generate vital epidemiological insights that support regulatory submissions and inform evidence-based decision-making. This role demands expertise in epidemiology, biostatistics, and health outcomes research to advance the organization's strategic objectives within clinical development, market access, and medical affairs.
Key Responsibilities
Epidemiology & RWE Strategy
• Develop and execute real-world evidence generation strategies to support Kenvue's drug development, regulatory submissions, and commercialization initiatives.
• Identify and assess epidemiological trends, disease burden, and treatment patterns to guide Kenvue's clinical and medical decisions.
• Collaborate with cross-functional teams (medical affairs, clinical, regulatory, and commercial) to align RWE strategies with organizational goals.
Study Design & Execution
• Design and conduct observational studies, including cohort studies, case-control studies, and patient registries, utilizing electronic health records (EHR), claims databases, registries, and patient-reported outcomes (PROs).
• Prepare research protocols, statistical analysis plans, and study reports in compliance with regulatory and industry standards.
• Work closely with data scientists, biostatisticians, and external partners to ensure the quality and integrity of RWE studies.
Data Analysis & Interpretation
• Conduct epidemiological analyses to estimate incidence, prevalence, treatment effectiveness, and safety outcomes of Kenvue OTC product portfolio
• Interpret study findings within the context of clinical development, safety, and market access considerations.
• Communicate key insights effectively to internal and external stakeholders through presentations, publications, and conference abstracts.
Regulatory & Compliance Support
• Provide epidemiological evidence for regulatory submissions, post-marketing commitments, and risk management plans (RMPs).
• Ensure compliance with regulatory requirements (FDA, EMA, PMDA, etc.) and Good Pharmacoepidemiology Practices (GPP).
• Support pharmacovigilance activities by analyzing real-world safety data and evaluating risk-benefit profiles.
Stakeholder Engagement & External Collaboration
• Engage with key opinion leaders (KOLs), academic institutions, and research organizations to foster innovation in real-world research methodologies.
• Represent the organization in industry consortia and professional societies (ISPE, ISPOR).
• Publish research findings in peer-reviewed journals and present at scientific conferences.
What we are looking for
Qualifications & Experience
Required
• Master's or PhD in Epidemiology, Public Health, Biostatistics, or a related field.
• 3-7 years of experience in real-world evidence, epidemiology, or health outcomes research within the pharmaceutical, biotech, or healthcare sectors.
• Proficiency in analyzing large healthcare datasets (EHR, claims, registries, etc.) and applying epidemiological methods.
• Excellent communication skills with experience in scientific writing, presentations, and cross-functional collaboration.
Preferred
• Experience with artificial intelligence/machine learning (AI/ML) applications in RWE.
• Prior experience with regulatory interactions (FDA, EMA) related to real-world evidence submissions.
• Background in therapeutic areas such as oncology, neurology, cardiology, or rare diseases.
• Hands-on experience with statistical software such as SAS, R, Stata, or Python for epidemiological analyses.
• Strong understanding of regulatory guidelines related to real-world evidence and epidemiology.
• Knowledge of value-based healthcare and health economics (HEOR) principles.
Key Competencies
✔ Strategic Thinking & Problem-Solving
✔ Technical Expertise in Epidemiology & RWE
✔ Cross-functional Collaboration
✔ Scientific Writing & Data Interpretation
✔ Regulatory & Compliance Knowledge
What is in it for you
• Annual base salary for new hires in this position ranges from $141,000 - $192,000 . This considers a number of factors including work location, the candidate's skills, experience, education level & other job-related factors.
• Competitive Total Rewards Package*
• Paid Company Holidays, Paid Vacation, Volunteer Time & More!
• Learning & Development Opportunities
• Employee Resource Groups
• This list could vary based on location/region
*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
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