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Software and Data Engineer for Digital Health Research

vor 2 Monaten


Potsdam, Brandenburg, Deutschland Data4Life Vollzeit

Are you passionate about science and research, seeking practical applications? Do you excel at transforming data into valuable insights? Are you eager to learn, implement ideas, and collaborate with a diverse team of professionals?

If so, join Data4Life and contribute to groundbreaking digital research solutions that empower healthcare and scientific advancements. We strive to support researchers by making health data readily accessible and impactful.

Your Role
  • Collaborate closely with our partners at the Hasso Plattner Institute, Icahn School of Medicine at Mount Sinai, and our development team in Singapore.
  • Design and implement a robust framework for secure annotation of radiology images using maintainable and well-tested code, adhering to best practices.
  • Contribute to the design of machine learning pipelines that enable our partners to efficiently train and test models on structured and unstructured data.
  • Take ownership of transformation steps within ETL pipelines, integrating diverse data sources into our unified data model.
  • Deepen your understanding of the Observational Medical Outcomes Partnership (OMOP) Common Data Model, a globally recognized standard for representing observational health data.
  • Partner with research institutions to summarize scientific and technological progress in reports, and present findings at international conferences.
Your Qualifications
  • Hold a degree in Computer Science, Data Science, or a related field.
  • Possess strong programming skills in relevant languages (e.g., Python).
  • Demonstrate experience with machine learning algorithms and techniques.
  • Have a solid understanding of data structures and algorithms.
  • Exhibit excellent analytical and problem-solving abilities.
  • Communicate effectively both verbally and in writing.