10 hours per week | Hamburg and remote | Start Jan/Feb 2027

How do health policy measures take effect? How can the quality of health care be improved? And what can machine learning contribute to this? Help us investigate these questions using data and empirical methods.

For our research group „Managerial and economic dimensions of health care quality“ at the Hamburg Center for Health Economics (HCHE), we are looking for a student or research assistant.

At the HCHE, around 80 researchers work on solutions to current and future challenges in health care. In the DFG-funded Research Training Group, twelve doctoral researchers from business administration, economics, and health economics study how quality in health care can be explained, measured, and specifically improved.

What we offer

Collaboration on national and international research projects focused on Policy Evaluation and Applications of Causal Machine Learning
Insights into current research at the intersection of health economics, data science, and health policy
The opportunity to contribute your own ideas and to develop your skills in programming, machine learning, and causal inference in practice
Flexible working hours that fit around your studies, a workspace at the HCHE, and the option to work remotely

Your tasks

Reviewing literature and organizing relevant studies in a structured way
Preparing, analyzing, and visualizing research data
Developing and applying code for empirical analyses, for example in Python or R. Supporting the implementation of machine learning methods and causal inference methods
Helping to design and carry out empirical studies, for example on the evaluation of health policy measures or on heterogeneous treatment effects in health care
Supporting organizational and administrative tasks in day-to-day research

Your Profile

Ongoing degree in health economics, economics, data science, information systems, statistics, or a comparable field, preferably at master’s level or in an advanced bachelor’s stage
Interested in health economics questions and working with data
Interested in Machine Learning and Causal Inference, ideally complemented by some initial knowledge from courses, your own projects, or practical work
Some initial programming experience, for example in Python or R, and a willingness to develop your skills further
A careful, reliable, and independent way of working, along with enjoyment of working in a team

Pay and contract duration

Pay is based on the current hourly rates of Universität Hamburg. It is currently 15.20 euros per hour for student assistants. With a completed bachelor’s degree, employment as a research assistant is possible at a rate of 17.39 euros per hour. The position is initially limited to six months. An extension is possible.

Interested? Send your application with a short cover letter, your CV, and relevant certificates by 1 November 2026 by email to Maximilian Knechtel: maximilian.knechtel@uni-hamburg.de.

In your cover letter, we are particularly interested in which research questions and methods appeal to you and what experience you already bring, for example from your studies or your own projects.

We look forward to meeting you!

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