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- Aufgaben: Build and optimize data pipelines for AI medical imaging solutions.
- Arbeitgeber: Join a mission-driven team focused on preventing vision loss through innovative AI technology.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and competitive pay in a dynamic startup culture.
- Warum dieser Job: Make a real impact on patient care while growing your skills in a collaborative environment.
- Gewünschte Qualifikationen: Master's degree in relevant fields and experience in computer vision and DevOps required.
- Andere Informationen: Work with an international team and tackle exciting challenges in healthcare technology.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
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 Age-related 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, problem-solving skills, and statistical and mathematical knowledge to create impactful solutions.
Requirements
Your must-haves:
- Master’s 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 cross-validation, train/validation/test sets).
- Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
- Working-level English (C1 or higher).
Your nice-to-haves:
- 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 1-page cover letter where you describe:
- Your motivation for working in healthcare.
- An example of your favorite computer vision problem you’ve tackled (academic or work-related).
Please also include:
- Your availability.
- Salary expectations.
Applications that do not meet these criteria will not be considered.
#J-18808-Ljbffr
Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany) Freel[...] Arbeitgeber: deepeye Medical GmbH
Kontaktperson:
deepeye Medical GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany) Freel[...]
✨Tip Number 1
Make sure to showcase your experience in computer vision and medical imaging during the interview. Prepare specific examples of projects you've worked on, especially those that relate to eye diseases or healthcare applications.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in AI for medical imaging. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Highlight your DevOps skills by discussing any experience you have with cloud platforms like GCP, Azure, or AWS. Be ready to explain how you've integrated and deployed ML pipelines in previous roles.
✨Tip Number 4
Since this role involves working in interdisciplinary teams, prepare to discuss your collaboration experiences. Think of examples where you successfully worked with doctors, data scientists, or engineers to solve complex problems.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany) Freel[...]
Tipps für deine Bewerbung 🫡
Understand the Mission: Before you start writing, take some time to understand the company's mission of preventing vision loss. Reflect on how your skills and experiences align with this goal, and be ready to express this in your application.
Craft a Compelling Cover Letter: Your cover letter should be concise and focused. Clearly articulate your motivation for working in healthcare and provide a specific example of a computer vision problem you've solved. Make sure to highlight your relevant experience and how it relates to the role.
Highlight Relevant Skills: In your CV, emphasize your Master's degree and any experience you have in computer vision and medical imaging. Be sure to mention your proficiency in Python and any ML frameworks you’ve worked with, as well as your DevOps knowledge.
Be Clear About Availability and Salary Expectations: Include a section in your cover letter that clearly states your availability and salary expectations. This will help streamline the process and show that you are serious about the position.
Wie du dich auf ein Vorstellungsgespräch bei deepeye Medical GmbH vorbereitest
✨Show Your Passion for Healthcare
Make sure to express your motivation for working in the healthcare sector. Share personal stories or experiences that highlight why you are passionate about using AI to improve patient outcomes.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with computer vision and deep learning. Bring specific examples of projects you've worked on, especially those related to medical imaging, and be ready to explain the techniques you used.
✨Highlight Your Problem-Solving Abilities
During the interview, showcase your curiosity and problem-solving skills. Discuss how you've approached complex challenges in past projects, particularly in building and optimizing data pipelines.
✨Prepare for Team Dynamics
Since the role involves working in interdisciplinary teams, be ready to talk about your experience collaborating with doctors, data scientists, and engineers. Highlight any successful projects where teamwork was key to achieving results.
