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Epidemiology Summer Intern 2027

Johnson & JohnsonRaritan, NJPosted 3 hours ago

Pay
$55k – $65k
per year
Type
Internship
Summer 2027
Where
Raritan, NJ
+1 more location
Who
Master's or PhD
Students
Visa
No sponsorship
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About the job

At Johnson & Johnson, health is at the center of everything we do. Our work in Innovative Medicine and MedTech lets us develop healthcare solutions across the full spectrum of care, with the goal of preventing, treating, and curing complex diseases. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to the employees who work with us throughout the world. We provide an inclusive work environment where each person is treated as an individual and where diversity and dignity are respected.

Intern, Oncology Epidemiology

The Intern, Oncology Epidemiology role supports the Oncology Epidemiology team under the supervision of senior members of the department.

Primary responsibilities:

  • Help identify research study needs, draft proposals and protocols, and contribute to epidemiology study conduct across the clinical development program.
  • Help run database and study feasibility assessments and carry out analyses across the product cycle.
  • Conduct literature reviews and syntheses, assist senior epidemiologists and clinical teams with study design, and identify and evaluate data resources that meet therapeutic needs.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants 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 law. We actively seek qualified candidates who are protected veterans and individuals with disabilities.

Johnson & Johnson is committed to an interview process that includes applicants' needs. External applicants who need an accommodation can contact us via https://www.jnj.com/contact-us/careers. Internal employees should contact AskGS.

Skills mentioned

  • Literature Review
  • Epidemiology
  • Quantitative Methods
  • Study Design

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