About this opportunity
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:
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 352 comparable Biostatistics & Data Science roles across 42 biopharma companies.
Salary context
159 of 352 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 352 comparable roles
+ 21 more countries
Seniority mix
271 of 352 peers have a known seniority level
Therapeutic area mix
49 of 352 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.