The Renku platform is developed at the SDSC to simplify the development, collaboration, and sharing of data analysis projects. Renku is used at academic institutions in Switzerland and internationally, as well as in the private and public sectors. To enrich the team that develops the Renku platform (https://renkulab.io) at the SDSC, we are looking for a creative full-stack developer in Zürich or Lausanne. The platform is developed by a team of 15 from 12 different countries, and we are committed to upholding the team’s diversity in the future.

We are looking for a motivated and proactive individual to join the team that develops the Renku platform at the Swiss Data Science Center (SDSC) in Zürich. As a member of our team, you will nurture and grow the Renku user community.

The Renku platform is developed at the SDSC to encourage collaboration, sharing and best-practices in data analysis projects. Renku is used at academic institutions in Switzerland and internationally as well as the private and public sectors. Renku is developed by a team of 15 from 12 different countries, and we are committed to upholding the team’s diversity in the future. As a cross-competence and multi-disciplinary team, the role is diverse and can be tailored to specific profiles and growth trajectories, depending on the candidate’s interest.

As a Proteomic Data Analyst, you must have a perfect understanding of the challenges and issues of proteomic data analysis. You will analyze proteomic data to bring these data to a clinical-readiness level. Furthermore, you will design and implement software solutions to facilitate data flow between the centre and its partners. Furthermore, you will deliver scalable, modular, and portable services following Open Research Data (ORD) best practices, such as Findable, Accessible, Interoperable, Reusable (FAIR), and security by design. Using product discovery methods, you will deliver innovative solutions that best meet user needs. Finally, you will ensure customer-centricity by collecting and contextualizing requirements in user stories. This role reports to the Team Leader with a dotted line report to the proteomic platform leadership.

As a Metabolomic Data Analyst, you must have a perfect understanding of the challenges and issues of metabolomic data analysis.

• You will analyze metabolomic data to bring these data to a clinical-readiness level.
• You will design and implement software solutions to facilitate data flow between the center and its partners. Furthermore, you will deliver scalable, modular, and portable services following Open Research Data (ORD) best practices, such as Findable, Accessible, Interoperable, Reusable (FAIR), and security by design. Using product discovery methods, you will deliver innovative solutions that best meet user needs.
• Finally, you will ensure customer-centricity by collecting and contextualizing requirements in user stories.

This role reports to the Team Leader with a dotted line report to the metabolomic platform leadership.

We are looking for a motivated and enthusiastic individual to join the Swiss Data Science Center (SDSC) in Lausanne and Clinical Genomic Analysis Center (CGAC) in Geneva. You will make an impact on the healthcare industry by delivering reliable value-enhancing services for genomic and multi-omic data analysis.

In order to strengthen our operational team, we are seeking a motivated System Engineer. In this role, you will support the deployment and maintenance of both our provided services and internal operations.