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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 60000 - 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
Freelance Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany) Arbeitgeber: deepeye Medical GmbH
Kontaktperson:
deepeye Medical GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Freelance Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany)
✨Tip Number 1
Make sure to showcase your experience in computer vision and medical imaging during any discussions. Highlight specific projects where you've applied deep learning techniques, as this will resonate with our mission.
✨Tip Number 2
Familiarize yourself with the latest trends in AI for healthcare, especially in ophthalmology. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare to discuss your experience with cloud infrastructure and DevOps practices. We value candidates who can integrate and automate ML pipelines effectively, so be ready to share relevant examples.
✨Tip Number 4
Since we work in interdisciplinary teams, think of ways you've collaborated with professionals from different backgrounds. Sharing these experiences can show us how well you would fit into our dynamic team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Freelance Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany)
Tipps für deine Bewerbung 🫡
Understand the Mission: Before applying, take some time to understand the company's mission of preventing vision loss through AI. This will help you tailor your application to reflect your alignment with their goals.
Craft a Compelling Cover Letter: Your cover letter should be concise and focused. Clearly express your motivation for working in healthcare and provide a specific example of a computer vision problem you've solved. Make sure it’s no longer than one page.
Highlight Relevant Experience: In your CV, emphasize your experience in computer vision and any applied DevOps knowledge. Include specific projects or roles that showcase your skills in building and optimizing data pipelines, especially in medical imaging.
Be Clear About Availability and Salary Expectations: Make sure to include your availability and salary expectations in your application. This information is crucial for the company to assess your fit for the role.
Wie du dich auf ein Vorstellungsgespräch bei deepeye Medical GmbH vorbereitest
✨Zeige deine Leidenschaft für die Gesundheitsversorgung
Bereite dich darauf vor, deine Motivation für die Arbeit im Gesundheitswesen klar und überzeugend zu kommunizieren. Überlege dir, warum du in diesem Bereich arbeiten möchtest und wie deine Fähigkeiten zur Verbesserung der Patientenversorgung beitragen können.
✨Präsentiere deine Erfahrungen mit Computer Vision
Sei bereit, ein konkretes Beispiel für ein Computer Vision-Projekt zu teilen, an dem du gearbeitet hast. Erkläre die Herausforderungen, die du bewältigt hast, und die Lösungen, die du entwickelt hast, um zu zeigen, dass du praktische Erfahrung in diesem Bereich hast.
✨Demonstriere deine technischen Fähigkeiten
Stelle sicher, dass du deine Kenntnisse in Python und gängigen ML-Frameworks wie TensorFlow oder PyTorch hervorhebst. Bereite dich darauf vor, technische Fragen zu beantworten und eventuell sogar eine kurze technische Aufgabe zu lösen, um deine Fähigkeiten zu demonstrieren.
✨Bereite Fragen zur Teamarbeit vor
Da interdisziplinäre Zusammenarbeit wichtig ist, überlege dir Fragen, die du über die Teamdynamik und die Zusammenarbeit mit Ärzten und anderen Fachleuten stellen kannst. Dies zeigt dein Interesse an einer effektiven Kommunikation und Zusammenarbeit im Team.
