Machine Learning

Research and Development for a healthier future

IGES Institute Berlin is a leading institution for research, development and consulting in the areas health and mobility. More than 170 experts from diverse backgrounds work for customers that are leading names in the industry, health insurance providers or governmental agencies. Our deep scientific knowledge combined with strategic and customer-oriented know-how make us a unique and respected player in our fields of expertise.

For our new Machine Learning group, we are looking for a

(Senior) Applied Researcher – Natural Language Processing

This role has a strong focus on solving research questions in the field of Natural Language Processing (NLP) in the medical domain.

Your qualifications:

  • PhD or Master’s degree in Computer Science, Computational Linguistics or a related field.
  • Ability to independently work on applied research questions.
  • Solid experience developing with Python. Additional Java skills are a plus.
  • Experience with various NLP and machine learning algorithms, e.g. for Named Entity Recognition, Information Extraction or Document Classification, and with relevant open-source toolkits, e.g. for deep learning such as PyTorch or Hugging Face’s Transformers.
  • Basic knowledge of German, since some of the NLP algorithms run on German text.

Our offer:

  • Space for creativity and to follow your own ideas.
  • Chance to work with some of the latest algorithm and tools in machine learning and NLP and to significantly expand your expertise in these fields.
  • Membership in a modern co-working space in the heart of Berlin and flexible work-from-home arrangements during and after the pandemic.

We are looking forward to your application! Please send it to Philipp Rauwald (

IGES Institut GmbH
Friedrichstr. 180
10117 Berlin