RWE Economic Modeling Intern

Location: Titusville

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 Med Tech, 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

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:

Economic Modeling and Real-World Evidence Intern

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at

Remote work options may be considered on a case-by-case basis and if approved by the Company.

We are searching for the best talent for Evidence & Modeling Analytics Intern to be in remote or hybrid.

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 review and 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.

You 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.

Qualifications / Requirements:

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

D 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 matching-adjusted indirect comparison.

* Prior publication(s) involving cost-effectiveness analysis (e.g., manuscripts, conference presentations) is strongly preferred.

* Programming experience with Markov models, partitioned survival analysis, or discrete event simulation in Excel/VBA, R, or Python.

* Prior experience with health economic modeling in oncology, hematology, immunology, or neuroscience.

* Strong written and verbal communication skills, with the ability to explain complex health economic methods to both technical and non-technical audiences.

* GPA:
Preferably 3.5

Soft Skills:

* Self‑driven and highly motivated

* Communicates clearly and effectively

* Able to work independently with minimal supervision

* Demonstrates strong accountability and ownership

* Collaborates well with team members

* Consistently delivers reliable, high‑quality results

* Curious and proactive in seeking new knowledge

* Eager and willing to learn

* Detail‑oriented with strong attention to accuracy

* Flexible and adaptable in…