Aktuelle Jobs im Zusammenhang mit Lead Research Scientist in AI for Oncology - Frankfurt am Main, Hessen - Lunit
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Lead Research Scientist in AI for Oncology
vor 3 Monaten
Lunit is at the forefront of medical AI technology, dedicated to enhancing cancer care through innovative AI solutions. Our mission is to revolutionize cancer diagnosis and treatment by leveraging advanced artificial intelligence.
About the Team
Who will you collaborate with daily?
- You will be part of the AI Division, specifically within the Oncology or Cancer Screening Research Departments, working alongside a diverse group of passionate AI researchers and engineers. Together, we strive to create impactful products while engaging in significant applied research.
- Our team is enriched by a variety of cultural backgrounds and expertise, with members from multiple nationalities. We share a common goal of improving cancer patient outcomes through our work.
Team Dynamics
- We cultivate a collaborative and supportive environment, promoting the exchange of ideas and teamwork in research and development. Activities include seminars, workshops, and team-building events.
Position Overview
What makes this role fulfilling?
- Your contributions will directly influence our goal of enhancing cancer treatment through AI, enabling personalized treatment plans and early cancer detection. Our software is recognized globally for its excellence and is actively utilized in healthcare settings.
- You will advance our AI research frameworks and improve the performance of Lunit's AI models, which are integral to our top-tier products.
- We provide access to extensive labeled and unlabeled datasets, along with robust cloud computing resources.
- Current research initiatives cover a wide range of topics, including object detection, semantic segmentation, self-supervised learning, and more.
- We actively contribute to the scientific community through publications, open-source projects, and public events such as machine learning challenges.
- Experience growth in your career by engaging in diverse projects and collaborating with multidisciplinary teams.
Key Responsibilities
- Design and implement advanced AI models to enhance Lunit's product offerings and the field of medical image analysis.
- Collaborate closely with medical professionals, product managers, and research engineers to develop innovative projects that align with Lunit's strategic goals.
- Contribute high-quality code to our internal research repositories, adhering to best development practices.
- Drive technological advancements and share findings through publications in prestigious journals and conferences.
Technologies Utilized
- Programming languages/frameworks: Python, PyTorch, MLFlow, Ray, Prefect
- Infrastructure: Google Cloud Platform
- General tools: Git, Docker, Confluence, Jira
Qualifications
- Minimum of 5 years of research experience in machine learning or deep learning, with a focus on computer vision or medical image analysis.
- Advanced degree (Masters or Doctorate) in computer science, biomedical engineering, electrical engineering, or a related discipline.
- Strong understanding of contemporary machine learning techniques and experience with relevant software packages.
- Genuine interest in addressing medical challenges and improving healthcare standards through AI.
- Excellent communication skills in English, both written and verbal.
- Experience in designing and deploying ML-based software systems in production environments.
- Detail-oriented, responsible, and committed to delivering high-quality solutions.
- Team-oriented with experience in interdisciplinary research collaborations.
Preferred Experience
- 7+ years of research experience, including at least 2 years in an industrial setting.
- Proficient in software development practices, including Git and Python.
- Experience with medical imaging data.
- First-author publications in leading conferences or journals in the fields of Computer Vision or Medical Imaging.
- Passion for leveraging AI to advance healthcare and combat cancer.
- Proactive in knowledge sharing and fostering a positive research culture.
- Awareness of recent trends in AI research.
- Contributions to open-source projects in relevant fields.
- Participation in competitive challenges in Computer Vision or Medical Imaging.
- Commitment to high-quality programming and software engineering practices.
Application Process
- Submit your CV (resume) in English.
Work Environment
- Type: Full-time
- Location: Flexible options available.
- Salary: Negotiable based on experience.
Benefits
- Convenient office location with excellent amenities.
- Meal allowances for lunch and dinner.
- Support for workspace customization upon joining.
- Access to the latest technology and resources for work.
- Funding for professional development and learning opportunities.
- Regular seminars and educational sessions.
- Language support for non-native speakers.
- Annual benefits points for various claims.
- Health checkups and insurance coverage.
- Financial assistance for team gatherings.
