Klinik für Kardiologie, Angiologie und Pneumologie
Job Description:
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 opportunitiesÂ
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
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 opportunitiesÂ
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
Job Description: Jesteśmy firmą technologiczną.Realizujemy projekty. Budujemy zespoły. Zapewniamy specjalistów do projektów.Za pomocą technologii wspieramy wzrost biznesowy naszych Klientów oraz...
Job Description: Are you enthusiastic about addressing complex challenges, thriving in an international team environment, and expecting top-notch quality in...
