RWE & Modeling Summer Intern

• Job Function: Career Programs
• Job Sub Function: Non-LDP Intern/Co-Op
• Job Category: Career Program
• Job Posting Locations: Titusville, New Jersey, United States of America

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

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.

• 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.

• 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 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.
• Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
• Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long‑term status that does not require company sponsorship.

Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external…