PhD-candidate: impact of prediction algorithms in healthcare
You have 5 more days to apply
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About your role
You will investigate how the use of prediction and machine learning algorithms improves patient outcomes. You develop novel methods at the intersection of causal inference and prediction modeling, with the aim of quantifying algorithmic impact using large-scale healthcare data. These methods are applied to clinically relevant use cases in orthopedics and oncology, translating theory into actionable insights for researchers and clinicians.
Your main responsibilities are:
- Developing new causal inference methods to estimate the impact of prediction algorithms using observational healthcare data.
- Studying the statistical properties of these methods through mathematical derivations and simulation studies.
- Analyzing large medical datasets and applying the developed methods within orthopedics and oncology, in close collaboration with clinicians.
- Developing user-friendly statistical software, such as an R package, to support adoption of the methods.
- Publishing and presenting research findings through scientific papers, conferences, and collaborative projects.
In addition, you actively contribute to the institute’s academic environment by participating in teaching, workshops, and seminars; teaching activities account for approximately 10% of your appointment.
About your workplace
You will work within the Department of Biomedical Data Sciences at LUMC, where advanced statistical methods, data science, and data management are developed and applied to biomedical research. The department plays a key role in strengthening research quality and supporting medical decision-making through data-driven insights.
Within this department, you will be part of the Medical Statistics section that consists of a large group of biostatisticians. You will join a close-knit and highly skilled team of PhD candidates and senior researchers working at the intersection of prediction modeling and causal inference. The working environment is open, intellectually stimulating, and collegial, offering ample room for in-depth discussion, collaboration, and personal development. A research visit to the University of Copenhagen (+/-1 month) is planned as part of this position.
About you
You have a strong mathematical background and are motivated to apply your quantitative skills to contribute to healthcare. You enjoy delving into the theoretical foundations of algorithms and value explaining your insights clearly to others, including researchers from different scientific backgrounds.
In addition, you bring:
- A completed master’s degree in (Bio)Statistics, Applied Mathematics, Data Science, Econometrics, or a related field, with a strong academic track record, for instance an excellent thesis (≥8.0/10 on the Dutch scale or ECTS Grade A/B).
- An interest in both studying the theoretical properties of estimators and applying statistical methods to medical datasets.
- Experience with programming, preferably in R and/or Python.
- Strong written and oral communication skills in English (C1 level or higher).
- Proficiency in Dutch is considered an advantage.
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?
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 PhD-candidate your salary will be between € 3,108, and € 3,939, gross per month (scale Pro CAO UMC). These figures are based on a full-time position.
- This position is for the duration of 4 years
- Please upload your CV, motivation letter (max 1 A4) as well as your MSc transcripts
- The procedure involves two to three interviews, including one where we ask you to present some of your earlier research work (e.g. you master’s thesis). The recruitment committee consists of Dr Nan van Geloven, Dr Doranne Thomassen and Prof Saskia le Cessie.
- Applications from employment/recruitment agencies will not be considered.