RWE & Modeling Summer Intern

Johnson & Johnson•Titusville, NJ

About The Position

The Real-World 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. The role produces analytic inputs and outputs—including literature summaries, code searches and validation, and budget impact and cost-effectiveness models—that translate data into insights for decision-making across the product lifecycle. The intern contributes to sophisticated modeling and rigorous research that informs payers, policymakers, and internal stakeholders. The position is based in Titusville, New Jersey. Applicants must be permanently authorized to work in the United States and must not require employment visa sponsorship at application or in the future.

Requirements

  • Currently enrolled in a PhD program in Health Economics, Biostatistics, Epidemiology, Decision Sciences, Operations Research, or a related quantitative field.
  • Applicants with a PharmD or an MS may be considered if they have prior consulting or industry experience, including experience developing de novo models.
  • Foundational knowledge of pharmaceutical economic evaluation in the U.S. market and comparative effectiveness methodologies, including network meta-analysis and matching-adjusted indirect comparison.
  • Programming experience with Markov models, partitioned survival analysis, or discrete event simulation in Excel/VBA, R, or Python.
  • Strong written and verbal communication skills, including the ability to explain complex health economic methods to technical and non-technical audiences.
  • Permanently authorized to work in the U.S. without requiring employment visa sponsorship at the time of application or in the future.

Nice To Haves

  • Prior publication(s) involving cost-effectiveness analysis, such as manuscripts or conference presentations, are strongly preferred.
  • Prior experience with health economic modeling in oncology, hematology, immunology, or neuroscience.

Responsibilities

  • Assist in developing and validating 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.
  • Search, review, and summarize real-world evidence and treatment guideline literature.
  • Search for and review NDC, GPI, HCPCS, ICD-9, and ICD-10 diagnosis codes.
  • Prepare presentation materials and integrate feedback from the supervisor and cross-functional project teams to ensure clarity and scientific excellence.

Benefits

  • Company-sponsored employee medical benefits, subject to plan terms.
  • Up to 40 hours of sick time per calendar year; up to 56 hours per calendar year for employees residing in Washington State.
  • Eligibility to participate in the Company's consolidated retirement plan (pension).
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