Your key responsibilities
- Development & Optimization: Design, develop, and optimize advanced algorithms for image analysis, integrating state-of-the-art machine learning models and computer vision techniques to derive meaningful insights from microscopic phenotyping data.
- Data Management: Oversee the collection, storage, and management of large datasets, ensuring data quality, integrity, and accessibility for further analysis.
- Prototyping: Rapidly develop prototypes and proof-of-concept demonstrations to validate new ideas and techniques.
- Feedback Loop: Implement mechanisms to collect user feedback and iteratively refine the software tools based on feedback and changing requirements.
- Continuous Learning: Stay updated with emerging trends and advancements in image analysis, machine learning, and relevant fields, and leverage them to enhance the company’s technological solutions.
- Educational Background: Possess a Master’s or Ph.D. degree in STEM fields, with a special emphasis on computational vision, informatics, engineering, or mathematics.
- Specialized Experience: Demonstrated expertise in applying both supervised and unsupervised machine learning techniques, preferably within the realm of bioimaging. Familiarity with frameworks such as TensorFlow, PyTorch, or similar.
- Technical Prowess:
- Proficiency in Python with a track record of hands-on coding experiences.
- Extensive experience with libraries and tools related to machine learning and image analysis.
- Proficiency with version control tools, especially Git.
- Understanding and application of software engineering best practices and agile methodologies, including Scrum or Kanban, with a keen understanding of sprint planning, retrospectives, and CI/CD tools.
- Team Dynamics: Exceptional team spirit with a proven ability to communicate effectively within an interdisciplinary team setting. Experience in close cooperation within a development team in the implementation, verification, integration and refactoring. Experience in collaborative tools such as Jira or Trello would be a plus.
- Language Proficiency: Fluency in both written and spoken English, ensuring seamless communication in diverse teams.
Candidates with at least some of the following demonstrable skills will be considered as a priority:
- A foundational understanding of biology, aiding in bridging the gap between technology and life sciences.
- Relational (e.g. MySQL) and NoSQL databases.
- Understanding of server administration, and performance optimization, for constructive communication with the IT team.
- German language skills (written and spoken).
- A permanent position within a dynamic and exciting R&D environment promoted by a start-up spirit.
- Annual performance bonus.
- Career development opportunities.
- A personal learning support.
- Interdisciplinary, multinational, and creative working environment.
- 30 days of paid leave.