Capax delivers freelance data scientist to international pharma company
Capax collaborated with a major international pharmaceutical company to find a freelance data scientist for a project-based assignment developing internal digital science training modules for researchers.
About the client
An international pharma company with complex digital science needs
Capax collaborated with a major international pharmaceutical company to find a freelance data scientist for a new project. Leveraging our knowledge of the company, understanding of their needs, and activation of our network, we quickly presented several qualified freelancers ready to step in immediately.
The company required a freelance data scientist to develop internal digital science training modules targeted at their researchers. The role was project-based over three months and required a temporary hire with strong digital science and training capabilities who could hit the ground running.
In project-based specialist hiring, speed only matters if precision is maintained. This case required both: a fast freelance solution and a candidate who could deliver from day one.
The challenge
Finding a project-ready specialist for a highly specialised pharma context
Working as a freelance data scientist in the pharmaceutical industry opens the door to unique and exciting opportunities. But for the client, the challenge was clear: they needed a specialist who combined data science expertise, digital training capabilities, and an understanding of the pharma environment — available quickly for a temporary assignment.
Specialised skill combination
The role required both strong digital science capabilities and the ability to contribute to training modules targeted at researchers.
Project-based timing
The assignment was limited to three months, which meant the candidate had to create value immediately without a long onboarding period.
High-impact pharma environment
The pharma sector is rapidly evolving, with data science playing a central role in research, development, and process optimisation.
Candidate quality at speed
The company needed qualified freelancers presented quickly — without compromising on professional relevance or cultural fit.
What Capax did differently
Activating deep client knowledge and a relevant freelance network
- 1
Built on an existing partnership
Capax had collaborated with the company for the past three years on several technical recruitments, many of which were particularly challenging to fill. This meant we already understood the organisation, its standards, and its way of working.
- 2
Clarified the assignment quickly
Drawing on our experience and in-depth knowledge of the company, we quickly identified the project's specific needs and translated them into a clear freelance search profile.
- 3
Activated the right network
We activated our network of relevant freelance specialists and quickly presented several qualified candidates ready to step into the project.
- 4
Screened for immediate impact
We screened relevant candidates, conducted interviews, and secured the ideal candidate to meet the project's demands — with a strong focus on readiness, relevance, and the ability to contribute from day one.
For freelancers, pharma projects offer a rare chance to contribute to work with significant societal impact while expanding professional expertise in a highly specialised industry.
Result
A freelance data scientist secured for a critical pharma project
Capax quickly presented several qualified freelancers and helped the company secure the right freelance data scientist for the project. The selected candidate had the skills needed to develop internal digital science training modules and begin contributing immediately.
The case further strengthened the long-standing collaboration between Capax and the company. To date, Capax has recruited more than 70 specialists for the organisation, making us well-equipped to support both permanent and project-based specialist needs.
Learnings
What this case taught us
- Project-based freelance hiring requires a very clear understanding of the assignment from the beginning
- Existing client knowledge can significantly speed up specialist recruitment without lowering quality
- Data science profiles in pharma are most effective when technical expertise is combined with domain understanding
- For temporary assignments, readiness and immediate impact are just as important as experience on paper
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