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Data Scientist; Medical Computer Vision

in 10115, Berlin, Berlin, Deutschland
Unternehmen: Nia Health GmbH
Vollzeit position
Verfasst am 2026-01-08
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen, Datenwissenschaftler
Gehalts-/Lohnspanne oder Branchenbenchmark: 80000 - 100000 EUR pro Jahr EUR 80000.00 100000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Data Scientist (Medical Computer Vision) (f/m/d)

Description

We are looking for a talented and ambitious Data Scientist (f/m/d) who’s excited to join us in developing real-world medical AI for dermatology - to support doctors and patients in the management of inflammatory skin conditions. You’ll join a small, fast-moving AI team, working closely with product management, engineers, data annotators and medical experts.

Your mission
  • Design, train, and evaluate computer vision models for medical image analysis, blending vision and structured data when relevant (PyTorch).
  • Maintain organized datasets and experiment tracking (DVC, Fifty One, MLflow).
  • Implement explainability and uncertainty estimation techniques.
  • Document model development steps, data sources, and evaluation procedures in line with medical product quality and regulatory standards.
  • Contribute to standardization and automation of model training and validation processes.
  • Perform data preprocessing, augmentation, and quality control in collaboration with data annotators and medical advisors.
  • Collaborate with front-/back-end engineers to integrate AI models into product workflows.
  • Work cross-functionally within the AI, product and business teams and present findings to technical and non-technical stakeholders.
Your profile
  • Degree in Computer Science, AI/ML, Biomedical Engineering, Statistics, or related field.
  • 2+ years of professional hands-on experience in machine learning / computer vision model development.
  • Proficiency with Python and frameworks such as PyTorch (Lightning) and OpenCV.
  • Strong data handling skills (Num Py, Pandas, etc.).
  • Ideally, experience with Docker, FastAPI.
  • Solid understanding of deep learning fundamentals, metrics, and evaluation methods.
  • Interest in expanding into multi-modal AI or LLM-based applications.
  • Analytical mindset and the ability to work in a structured and focused manner.
  • Excellent communication skills and curiosity about medical applications.
  • You speak German or English fluently.
Why us?
  • We invest in you. We offer a steep learning curve and the opportunity to grow beyond yourself through constant feedback and a culture of continuous learning. We work with adesso to provide access to a selection of over 100 training courses.
  • At the same time, we give you the freedom to develop yourself independently. Your energy and knowledge will be directed towards better care for chronically ill patients.
  • Join an inviting, diverse, and international team. You have the opportunity to participate in our team events, lunches, and activities that we regularly host.
  • A monthly budget that you can freely use in our Benefits app, whether for fitness memberships, wellness, or other activities.
  • Subsidized company-sponsored retirement savings and the Jobrad as attractive options for salary conversion.
Apply today!#J-18808-Ljbffr
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