InternCoOp NonLDP Int

Johnson & Johnson
Bezirk Arlesheim, Basel-Landschaft
Vollzeit
vor 3 Tagen

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 https://www.jnj.com

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Allschwil, Basel-Country, Switzerland

Job Description:

Support the Cardiopulmonary therapeutic area team of epidemiologists in the following tasks:

  • Develop and maintain a robust literature review on the epidemiology estimates in the cardiovascular domain
  • Contribute to study design, analysis, and results interpretation of real-world data to understand the natural history of a disease
  • Lead the development of clinical phenotypes for secondary use of insurance databases in collaboration with epidemiology analysts and safety physicians to ultimately provide the team with epidemiology estimates of medical events of interest for the cardiovascular space
  • Contribute to and review of epidemiology study documents as well as documents generated by other departments such as Global Drug Safety, Global Market Access, Global Clinical Science, Global Medical Affairs

Required Minimum Education: PhD in Epidemiology/Public health

Required Knowledge, Skills and Abilities:

Good English skills (spoken and written)

Good computer skills

Team spirit, sense of responsibility, accuracy, flexibility and autonomy

Swiss working permit active until 30 Sep 2026 MANDATORY

Preferred Knowledge, Skills and Abilities:

Experience in systematic literature review

Use of AI tool for data extraction

Cardiovascular knowledge

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