RWE & Modeling Summer Intern

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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:
Career Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

All Job Posting Locations:
Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for the Real-World Evidence & Modeling Analytics Intern.

Purpose: The Evidence & Modeling Analytics Intern will support Innovative Scientific Analytics by strengthening the generation of high‑quality evidence through economic modeling, literature review, and structured code validation.

This role focuses on producing analytic inputs and outputs, including literature summaries, code searches and validation, and budget impact and cost‑effectiveness models that translate data into meaningful insights for decision‑making across the product lifecycle.

By advancing ISA's capabilities in sophisticated modeling and rigorous research, the intern helps deliver scientific evidence that informs payers, policymakers, and internal stakeholders.

The intern will be responsible for:


* Assist in the development and validation of health economic models, including budget impact models, cost-per-responder analyses, and disease progression models.


* Support targeted literature reviews of published economic evaluations, clinical trials, and real‑world studies to inform model structure, inputs, and assumptions.


* RWE and treatment guideline literature search, review, and summary.

Code search and review: NDC, GPI, HCPCS, ICD-9 and ICD-10 diagnosis codes.


* Prepare presentation materials, integrating feedback from the supervisor and cross-functional project teams to ensure clarity and scientific excellence.



* undefined

Qualifications / Requirements:



* Currently enrolled in a PhD program in Health Economics, Biostatistics, Epidemiology, Decision Sciences, Operations Research, or a related quantitative field.

Open to PharmD candidates or MS students with prior experience in consulting or industry, including developing de novo models.


* Foundational knowledge of pharmaceutical economic evaluation in the US market and comparative effectiveness methodologies, including network meta-analysis and ma...