Frontend Web Developer (Big Data & Genomics), CH-Basel
Our solutions for sequence data management, sequence analysis, NGS data processing and analytics are operated in scientific and lab-driven environments. Our team searches for a strong developer with team experience, who is ready to work in the bioinformatics field facing the challenges and opportunities turning solutions and concepts into shippable products.
We care as much about delivering functional and performant solutions as we do about ensuring a technically sound platform. We foster a collaborative environment through guidance and mentorship. We pride ourselves on building a supportive atmosphere where you will both learn and teach.
This full-time position is based at our headquarters in Basel, Switzerland.
- Work with an established quality-driven agile team using state of the art organizational means focused on delivering software products with regular schedules.
- Maintain and extend a library of user interface components according to given specification and including automated tests and documentation
- BSc, MSc, or Ph.D. in computer science, mathematics, bioinformatics, or related fields, or comparable on-the-job experience
- Qualified web developer with skills on the web-tier end user interface as well as the middle-tier service layer
- Working experience with DevOps tools and methodologies (Jira, Confluence, Subversion, Jenkins, React, Play, JPA/Hibernate, NodeJS/NPM, SQL, Scrum)
- Good written and verbal communication and presentation skills in English
- A keen interest in working in a life science related field
About the Genedata Selector
Genedata Selector™ is an enterprise software platform that transforms raw sequencing data into solutions to optimize R&D and production processes for life science industries. Automated and intuitive software combined with scientific consulting and professional services provides a full solution for increasing efficiency and reducing costs in cell line design and selection, microbial contamination detection, and strain, germplasm, and breeding optimization.