Job offer:

Software Engineer: Computational Image Analysis

As a rapidly expanding start-up, ScreenSYS is seeking to employ a self-motivated, experienced, passionate, and team-oriented professional to join our company in the role of Software Engineer (f/m/d). The candidate will work closely together with a team of experts in plant biology, data science, machine learning, and laboratory automation.

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.


Your qualifications

  • 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.


Advantageous skills

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).


Our offer

  • 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.


About ScreenSYS GmbH

ScreenSYS is a pioneering start-up company (founded in 2017) specialising in disruptive technologies within the global agribusiness market by accelerating doubled haploid plant production, micropropagation and genome editing. Unique technologies developed by ScreenSYS transform plant breeding with the power of robotics, microscopic phenotyping, artificial intelligence and chemical regulator discovery. ScreenSYS commercialises state-of-the-art research with products for the agricultural biotechnology and seed market. Our technologies support plant breeders towards sustainable supply of food, feed and plant derived materials.

If you are interested, please send your CV and covering letter as pdf to