Research Assistant in NLP

vor 1 Monat


Heidelberg, Deutschland Klinik für Kardiologie, Angiologie und Pneumologie Vollzeit

Support cross-site clinical annotation projects Support the development of state-of-the-art machine learning methods in the Dieterich Lab Working with common data analytics stacks (Microsoft Windows, Linux, Python, etc) in close collaboration with domain experts in clinical routine Applicants should have a Master’s degree in computer science, computational linguistics, medical informatics or a comparable relevant background and level of expertise. Strong proven skills in Python in established data analytics frameworks (pandas, Jupyter, scikit-learn, Hugging Face). Experiences in common text annotation tools ( INCEpTION, WebAnno, Prodigy) Experiences in training and evaluating machine learning models (scikit-learn, huggingface). Familiar with agile project management tools (GitHub, Redmine). Fluent spoken and written German and English is expected. Strong ability to communicate and work in teams, flexibility and targeted action. Experiences in organizing and supervising collaborative annotation projects is a plus. Clinical domain knowledge is a plus. Goal-oriented, individual training and development opportunities  Working with the latest techniques / technical equipment Possibility of mobile working and flexible working hours within the framework of flexitime Regular team meetings Interdisciplinary cooperation Collectively agreed remuneration, attractive company pension scheme (VBL) 30 days vacation Sustainable travel: job ticket Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care Wide range of health, prevention and sports offers



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