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Johnson & Johnson

Epidemiology Trainee

Johnson & Johnson is hiring an Epidemiology Trainee in Basel, Switzerland. Level rates it ; you can apply on Johnson & Johnson.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as a junior role.
  • Level lists 1,700+ other open roles at Johnson & Johnson.
  • The role was posted in the last few days.

AI in this role

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:

Allschwil, Basel-Country, Switzerland

Job Description:


Position Overview :


  • 12 months full-time traineeship (recent PhD graduate) in an international healthcare company to grow your professional experience
  • Hybrid work under Johnson and Johnson´s Flex Policy, with three days per week in the office
  • Location: Switzerland, Basel Campus

Tasks & Responsibilities:

The scope of work is to support various teams of the global epidemiology department in the following tasks:


  • Identify fit-for-use European & other real-world data (RWD) sources and networks (e.g., health insurance claims, electronic health records, cancer registry data, federated RWD networks such as EHDEN), and supporting feasibility assessment, and analysis of such secondary RWD.
  • Support definition of phenotypes and cohorts and apply standardized tools to in-house as well as external RWD sources and federated data networks alongside other analysts.
  • Support the expansion of the AI-based RWD search and repository tools that generate insights across J&J’s therapeutic areas.
  • Contribute to epidemiology support to post-authorization life cycle management and cardiopulmonary therapeutic areas by developing study design, analysis, and results interpretation of real-world data.
  • Contribute to and review of epidemiology study documents as well as documents generated by other global departments such as Medical Safety, Market Access, Clinical Science, Medical Affairs

The trainee will work with other epidemiologists within the department and will be involved in the discussions to help contextualize and interpret the findings. The trainee will also have an opportunity to participate in other department events (e.g., educational webinars, team meetings, networking).

Qualifications - Education and Experience:


  • Holder of a PhD in epidemiology, public health.

Qualifications - Skills:


  • Good understanding of epidemiology study designs and analytical methods.
  • Good programing skills, preferably using R and/or SQL.
  • Strong interest in pharmaceutical research.
  • Good communication, collaboration, and networking skills.
  • Good presentation skills; fluent oral and written English.

Work authorization:


  • Swiss citizenship or a Swiss work permit valid through February 2028

Required Skills:

Preferred Skills:

How we rate this

Epidemiology Trainee at Johnson & Johnson rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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