Associate Director, Global MAA & RWE

Requirements

• Role Requirements
• Demonstrated proficiency in statistical programming , including R, SAS, and other relevant tools.
• Ability to design and apply statistical methods for comparative effectiveness research , including indirect treatment comparisons and secondary data analyses.
• Hands-on experience analyzing diverse data sources , including clinical trial data, data extracted in systematic literature reviews, administrative claims, electronic health records, and clinical registries.
• Strong organizational skills and ability to manage multiple priorities in a fast-paced environment, with a track record of meeting deadlines
• Effective project management capabilities , including planning, prioritization, and execution across concurrent workstreams.
• Excellent written and verbal communication skills, with the ability to convey complex technical information to diverse audiences.
• Advanced degree (Master's or higher) in a relevant field such as biostatistics, mathematics, computational sciences, economics, public health, health administration, or operations research.
• Minimum of 6+ years of relevant experience (or 4+ years with a doctoral degree) in pharmaceutical, biotech, or consulting environments.
• Demonstrated track record in indirect treatment comparisons and comparative effectiveness research , preferably supporting HTA or other agency submissions and publications.
• This role is based in either Raritan (NJ) or Beerse (Belgium). Up to 10% travel may be needed.
• Re

Benefits

Additional Information

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: Market Access Job Sub Function: Health Economics Market Access Job Category: Professional All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine (JJIM) is currently recruiting for Associate Director, Market Access Analytics and Real World Evidence (MAA & RWE) - Indirect Treatment Comparisons , within the Global Commercial Strategy Organization (GCSO), to be located in Raritan, NJ or Beerse, Belgium. 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 https://www.jnj.com/. Associate Director, Market Access Analytics and Real World Evidence (MAA & RWE) - Indirect Treatment Comparisons The Associate Director, Market Access Analytics and Real-World Evidence (MAA & RWE) will design and deliver rigorous market access analytics that address internal business questions, support evidence generation, and aid in analyses for inclusion in Health Technology Assessment (HTA) and payer submissions. ROLE Design and conduct analyses that align to payer (e.g. CDA, NICE, HAS) and regulatory evidentiary requirements and fully leverage available data sources. Lead the design and execution of indirect treatment comparisons (e.g., MAIC, STC, NMA, ML-NMR), observational studies, and comparative effectiveness analyses. Provide expert guidance on statistical methodologies and programming approaches to address key research questions in collaboration with therapeutic area experts. Lead end-to-end delivery of evidence-generation workstreams , including systematic literature reviews, feasibility assessments, protocol development, statistical analysis plans, and technical reports/publications. Apply advanced statistical methods such as regression modeling, mixed-effects models, survival analysis, propensity score methods, and non-parametric techniques in accordance with study protocols. Partner across internal functions (e.g., Global Market Access, R&D, Medical Affairs, Health Economics Modeling, Epidemiology) to develop evidence generation strategies that optimize HTA outcomes. Engage and collaborate with external partners , providing scientific and technical input to support joint research initiatives.

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