Data Scientist DevOps - AI Medical Imaging wmd - Remote or Hybrid Munich Germany Freelance or Full-Time 6 months potential to extend or hire
Data Scientist DevOps - AI Medical Imaging wmd - Remote or Hybrid Munich Germany Freelance or Full-Time 6 months potential to extend or hire
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Job Description
Our mission is to prevent vision loss and ultimately blindness by developing AI software that assists eye doctors in therapy planning for their patients. We use computer vision deep learning models (AI) trained on thousands of cases and millions of images to identify and predict disease progression. The decision support algorithm targets popular eye diseases like Agerelated Macular Degeneration (AMD affecting 7.5 million people in Germany alone).
Tasks
- Build and optimize data pipelines to integrate information from different sources including imaging and clinical data.
- Apply curiosity problemsolving skills and statistical and mathematical knowledge to create impactful solutions.
Requirements
Your musthaves:
- Masters degree in data science engineering computer science medical physics or a similar field.
- Experience in computer vision ideally in medical imaging.
- Applied DevOps knowledge in integration building automation testing and deploying ML pipelines on cloud infrastructure (like GCP Azure AWS).
- Applied knowledge of deep learning and machine learning (e.g. CNN UNet ML techniques like crossvalidation train/validation/test sets).
- Proficiency in Python and common ML frameworks (e.g. TensorFlow PyTorch).
- Workinglevel English (C1 or higher).
Your nicetohaves:
- Experience working in interdisciplinary teams with doctors data scientists and engineers.
- Familiarity with relational databases (e.g. PostgreSQL).
Benefits
- Direct impact on improving the quality of life for patients and doctors.
- Immediate responsibility for projects and opportunities for fast personal growth.
- Flexible working hours remote work options and a modern office at Munich main station.
- Competitive compensation a startup culture and an international dynamic team.
How to apply
To help us streamline the application process we require:
- Your CV or link to your relevant profile (e.g. GitHub LinkedIn).
- A maximum 1page cover letter where you describe:
- Your motivation for working in healthcare.
- An example of your favorite computer vision problem youve tackled (academic or workrelated).
Please also include:
- Your availability.
- Salary expectations.
Applications that do not meet these criteria will not be considered.
Employment Type
Full Time
