RWE & Modeling Summer Intern

Johnson & Johnson
Johnson & Johnson logo
Location
Titusville, New Jersey, United States of America
Job Type
Full-time
Posted
October 22, 2026
Hourly Rate
$24 - $53/hour

Job Description

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

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

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 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.

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

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

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 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 applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.

Required Skills

Preferred Skills

The anticipated base pay range for this position is :

$23.50/hr to $52.50/hr

Additional Description for Pay Transparency

The expected pay range for this position is between $23.50 per hour and $52.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on 8/13/2027. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

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Frequently Asked Questions

Where is this job located, and what is the work-mode policy?
The position is located in Titusville, New Jersey, United States of America. The job posting does not specify a remote or hybrid work-mode policy.
What are the required qualifications and experience level for this role?
Applicants must be enrolled in a relevant PhD program, or be PharmD/MS students with prior experience in consulting or industry (including de novo model development). Requirements include foundational US pharmaceutical economic evaluation knowledge, programming skills in Excel/VBA, R, or Python, health economic modeling experience in relevant therapeutic areas, and strong communication skills. Prior publications are strongly preferred.
What are the key responsibilities for this internship?
Responsibilities include assisting in developing and validating health economic models, supporting targeted literature reviews, conducting RWE and treatment guideline searches, reviewing healthcare codes (NDC, GPI, HCPCS, ICD-9/10), and preparing presentation materials by integrating supervisor and cross-functional team feedback.
What is the compensation for this position?
The anticipated base pay range is $23.50 to $52.50 per hour. Specific pay depends on the candidate's program year, discipline, degree, and experience.
Does Johnson & Johnson offer visa sponsorship for this position?
No. Applicants must be permanently authorized to work in the U.S. and not require employment visa sponsorship (e.g., H-1B or green card) now or in the future. Students on CPT, OPT, or STEM OPT do not meet requirements unless eligible for an alternative non-sponsored status.
What benefits are provided for interns?
Interns are eligible for company-sponsored medical benefits, up to 40 hours of sick time per calendar year (up to 56 hours for Washington residents), and participation in the company's consolidated retirement plan (pension).
What is the application deadline?
The job posting is anticipated to close on August 13, 2027, though the company may extend this period.

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Job Information

Source: manual
AI Relevance: 85/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
johnson & johnson biostatistics immunology oncology clinical
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