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Working student - Software Development (m/f/d) in Berlin

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change. Apply Online




  • Participate in the conception, development and implementation of sophisticated and responsive web applications based on JavaScript React and WebRTC
  • Support in the development of user acceptance tests
  • Collaborate with users and implement the components based on user feedback
  • Support through analysis and elimination of performance problems
  • Participate in the development and implementation of optimization ideas - from problem analysis to implementation in interdisciplinary teams
  • Contribute to continuous improvement initiatives




  • Current studies in computer sciences, media informatics, or an equivalent subject
  • Very good knowledge and project experience in responsive web development (HTML, CSS, JavaScript/TypeScript and React)
  • First knowledge of current web and frontend technologies (e.g. WebRTC) as well as practical experience in React, JavaScript, Python, Node, Elasticsearch and Amazon Web Services
  • Knowledge of software development cycles, web-based/object-oriented software development and test techniques, e.g. Cypress
  • Passion for excellence, attention to detail and curiosity for scientific work are a must
  • Ability to deal with ad hoc tasks, decisions and uncertainties
  • Creativity and openness to a very flexible organizational structure
  • Good German and English skills, both spoken and written


Please apply online submitting a cover letter, your CV, certificates, proof of enrollment, current transcript of records for a start as soon as possible with a weekly working time of 20 hours.

Country: Germany
Location: Berlin
Reference Code: 280661
Functional Area: Computational Science, Data Science & Statistics

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