Biostatistical Programmer
| Branche | Openbaar bestuur |
| Dienstverband | Uitzenden en detacheren |
| Uren | Zie onder |
| Locatie | Amsterdam |
| Salarisindicaties | 0-5.000 |
| Opleidingsniveau | Zie onder |
| Organisatie | Driessen |
| Contactpersoon |
Driessen Helmond Flexcenter 0629637887 |
Informatie
What will you be doing?
This role focuses on clinical data analysis, with a strong emphasis on analyzing clinical trial data at patient level. It is explicitly a hands-on expert role: not just a data analyst, but someone who actively works with and analyzes clinical study data while fully understanding the clinical context.
The ideal candidate has experience working in highly structured clinical data environments, such as SDISC/SDTM, and understands how clinical trial databases are built and used. Solid experience with statistical coding (e.g. R or SAS) is essential, as well as experience in data validation and data characterization. Familiarity with the various data standards and “languages” commonly used in clinical research is important.
In addition to technical expertise, communication skills are critical. The candidate must be able to:
- clearly communicate data results and analytical outcomes;
- translate complex clinical and statistical information to non-experts;
- create drafts, summaries, and visualizations that make analyses understandable;
- collaborate effectively with colleagues from other disciplines and departments.
Strong writing skills, teamwork, and collaboration are therefore key requirements. The role requires someone who can both generate insights from data and explain them clearly to different stakeholders.
What is less important for this role
- Machine learning experience is not considered essential and adds limited value in this context.
- The position is not intended as a stepping stone toward advanced ML or purely data science-focused roles.
Desired background and suitable profiles
Suitable candidates may include:
- Biostatisticians with active coding experience;
- Biostatistical programmers;
- Biostatisticians who have worked on clinical trials;
- Data managers in the pharmaceutical sector with strong analytical and statistical capabilities.
The ideal profile combines statistical coding expertise with biostatistical knowledge and hands-on experience in analyzing clinical trial data.
You will work 40 hours per week. The assignment starts on 2 February 2026 and ends on 31 December 2026.
Omschrijving
What will you be doing?
This role focuses on clinical data analysis, with a strong emphasis on analyzing clinical trial data at patient level. It is explicitly a hands-on expert role: not just a data analyst, but someone who actively works with and analyzes clinical study data while fully understanding the clinical context.
The ideal candidate has experience working in highly structured clinical data environments, such as SDISC/SDTM, and understands how clinical trial databases are built and used. Solid experience with statistical coding (e.g. R or SAS) is essential, as well as experience in data validation and data characterization. Familiarity with the various data standards and “languages” commonly used in clinical research is important.
In addition to technical expertise, communication skills are critical. The candidate must be able to:
- clearly communicate data results and analytical outcomes;
- translate complex clinical and statistical information to non-experts;
- create drafts, summaries, and visualizations that make analyses understandable;
- collaborate effectively with colleagues from other disciplines and departments.
Strong writing skills, teamwork, and collaboration are therefore key requirements. The role requires someone who can both generate insights from data and explain them clearly to different stakeholders.
What is less important for this role
- Machine learning experience is not considered essential and adds limited value in this context.
- The position is not intended as a stepping stone toward advanced ML or purely data science-focused roles.
Desired background and suitable profiles
Suitable candidates may include:
- Biostatisticians with active coding experience;
- Biostatistical programmers;
- Biostatisticians who have worked on clinical trials;
- Data managers in the pharmaceutical sector with strong analytical and statistical capabilities.
The ideal profile combines statistical coding expertise with biostatistical knowledge and hands-on experience in analyzing clinical trial data.
You will work 40 hours per week. The assignment starts on 2 February 2026 and ends on 31 December 2026.
Functie eisen
Who are you?
As a Biostatistical Programmer at the European Medicines Agency (EMA), you are an analytical and driven professional who enjoys working with complex data while maintaining oversight, even under pressure. You are stress-resistant and able to prioritize effectively in a dynamic, multicultural environment. You enjoy collaborating with a team but can also take responsibility independently. You are curious, eager to learn, and always looking for ways to improve processes and develop digital solutions. Thanks to your structured approach and excellent communication skills, you can clearly convey analyses and results to both colleagues and external stakeholders.
What you bring:
- A completed university degree (minimum three years) in Data Science, Informatics, Computer Science, Statistics, Mathematics, Engineering, Life Sciences, Pharmacy, or a comparable analytical/technical field.
- A Master's or PhD degree is a plus.
- Up to 3 years of relevant work experience in data analysis or data science.
- At least 2 years of experience in research, development, regulation, or authorization of medicines.
