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 Machine Learning group, we are looking for a

Applied Researcher – Natural Language Processing (m/f/d)

Your tasks:

  • Solving challenging and interesting research questions in the field of Natural Language Processing (NLP) in the medical domain.
  • Taking the project all the way from ideation to product readiness. Your models will run as APIs in our in-house analytics ecosystem.
  • Projects you might work on include e.g. Named Entity Recognition, Information Extraction (from text or tables), negation and modality detection, document classification, and trend detection in large document collections.

Your qualifications:

  • Master’s degree in Computer Science, Computational Linguistics or a related field. Alternatively, several years of work experience in the field of NLP.
  • 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 opensource toolkits, e.g. for deep learning such as PyTorch and 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.
  • A permanent position, performance-based pay and 30 days of vacation as well as Christmas Eve and New Year's Eve off.

If this task appeals to you, we look forward to receiving your complete application documents (cov-er letter, CV and references), stating your salary expectations and earliest possible starting date, via email to personal@iges.com. If you have any questions, please do not hesitate to contact Mrs. Johanna Seidel at +49 30/230 809-418.

IGES Institut GmbH
Personalreferat
Friedrichstr. 180
10117 Berlin