Postdoctoral Researcher in Causal Inference

You have 20 more days to apply

Are you passionate about advancing causal inference methods to improve health? As Postdoctoral Researcher in Causal Inference, you will apply and extend state-of-the-art causal inference methods using large-scale healthcare data and generate insights that shape international clinical guidelines and improve patient care. You will have the opportunity to develop your own research line and collaborate with leading experts in target trial emulation and causal prediction. With the intention of a permanent position and opportunities to progress towards a Principal Investigator role, this position offers ample scope for both scientific and professional development.

About your role

Using causal inference methods, you will transform large-scale real-world data into evidence that informs clinical guidelines and improves healthcare and population health. You have the opportunity to build your own research line, with potential to grow into a Principal Investigator role. You will start with a temporary appointment, with the intention and opportunity to transition to a permanent position.

Your main responsibilities include:

  • Applying advanced causal inference methods to large-scale healthcare datasets to answer important medical research questions.
  • Developing and expanding causal inference methods for real-world (observational) datasets.
  • Collaborating with health scientists within the Caecilia Institute and with partners from other disciplines.
  • Publishing research findings in leading scientific journals and presenting them at international conferences.
  • Teaching and co-supervision of students
  • Write funding applications (e.g. ZonMw, NWO and disease-specific foundations)

About your workplace

This position is based within the Department of Clinical Epidemiology and the Causal Inference Centre, both part of the Caecilia Institute for Population Health and Data Sciences at Leiden University Medical Center (LUMC). The Causal Inference Centre brings together leading experts from a range of disciplines to develop and apply advanced causal inference methods. Together, they work towards a common goal: improving the understanding, prevention and treatment of disease.

Working at the Causal Inference Centre means becoming part of an ambitious, internationally oriented research environment where scientific development and innovation are actively encouraged. The centre's research has contributed to more than ten international clinical guidelines and position papers and is regularly published in leading journals, including JAMA, BMJ and Circulation. In addition, the centre has inspired researchers around the world to apply innovative methods, such as target trial emulation, across a wide range of research fields.

About you

Collaboration comes naturally and you enjoy working with researchers from different disciplines. You approach scientific questions with an analytical, critical, and careful mindset, always questioning assumptions and methodological choices to ensure rigor. Complex methodological concepts are translated into practical applications, and you bring a proactive attitude to high-quality research. With a strong eagerness to learn, you stay curious about new methods and developments in the field, and you enjoy sharing knowledge within a multidisciplinary team.

In addition, you bring:

  • A PhD with an excellent research track record in biostatistics, clinical epidemiology, data science or a related quantitative discipline.
  • Experience with causal inference methods, demonstrated through peer-reviewed scientific publications.
  • Programming experience, preferably in R or Python, and an affinity for working with large-scale datasets.
  • Experience collaborating within multidisciplinary research teams.

Our offer

Driven by health; that's our mission. This applies not only to our patients but also to our employees. We strive to provide a safe, inclusive and equitable work environment, with a focus on talent development and connected leadership. In order to be able to continue to learn and develop, we offer internal and external training. You are also entitled to an end-of-year bonus (8,3%), holiday allowance, sports budget, bicycle scheme, home office allowance and an excellent commuting allowance. Furthermore, as an employee of LUMC, you are also affiliated with the ABP pension fund. This means that 70% of your pension premium is paid by LUMC, leaving you with a higher net salary. Nice, right?

See all employment conditions of the LUMC.

What do we represent?

As an academic medical center, LUMC strives to have a workforce that is a good reflection of society. We are committed to the highest quality in health care, education and (international) research, in which diverse perspectives are essential. Sustainability is also a high priority for us: we are committed to a healthy future, not only for people, but also for the planet. In line with these values, we aim to be a creative and inspiring place to work, where everyone feels at home, safe and valued. It's all about who you are and what you bring to contribute, regardless of your background. Together, we work toward a sustainable and inclusive future, both for the people around us and for the world we live in. Together, we are LUMC.  

More information

  • As a Postdoctoral Researcher, your salary will range from €3,897 to €5,867 gross per month (salary scale 9 to 11, CAO UMC), depending on your knowledge and experience. These amounts are based on a full-time appointment. A 3.5% salary increase will take effect on 1 May 2027.
  • The selection procedure consists of three stages: a review of your CV and motivation letter, an interview and a presentation of previously conducted research.
  • Acquisition in response to this vacancy is not appreciated.