EPFL, Swiss Data Science Center (SDSC) in Lausanne or Zürich as an Open Research Data Engineer, Switzerland – Dec 2022
EPFL, Lausanne, Switzerland
We encourage applications from a broad range of fields and experiences. You have knowledge and experience in software engineering and data science, acquired through an M.Sc./Ph.D. in a relevant field or work experience. Likewise, you enjoy building and using semantic data models, (non-)relational databases, and ETL systems. ORD and FAIRification practices are your friends. You are great at understanding infrastructure designs and eager to propose improvements. Coding in Python or R, workflow orchestration, and automation should be your passion! You are ready to learn about and become familiar with tools and trends which will enable you to excel in your work. We also value previous experience or curiosity about best practices for information security, especially safe harbor privacy principles for sensitive data. Finally, you love communicating with diverse stakeholders to scope work. You are confident in influencing collaborators through clear written and spoken English (with bonus points for French and/or German).
You will join a diverse spectrum of SDSC projects to drive the adoption and implementation of Open Research Data (ORD) practices. These projects are often multi or interdisciplinary and involve both internal and external collaborators. Onboarding collaborators in research communities that may not necessarily be familiar with the ORD practices will form a key part of this role.
Main duties and responsibilities include :
This role sits within the Open Research Data (ORD) Engagement and Services team within the SDSC, with scope across the organization in academic, industry, or governmental projects. These projects frequently involve multiple institutions, and individual partners will have varying technical expertise and familiarity with ORD best practices. You will enable ORD ways of working and ensure the continuous delivery of project objectives. As SDSC projects can be ambiguous and technically complex involving communities with different maturity levels, the Open Research Data Engineer should flexibly introduce new ORD concepts and tools while amplifying the existing successful ORD practices. An essential aspect of the role is co-creating innovative solutions that support communities throughout their ORD journey.Another key focus is Renku (https://renkulab.io), an open-source SDSC platform for reproducible and collaborative data science. As an Open Research Data Engineer, you will work with developers and product analysts to help identify and solve blockers related to technical development.
How to Apply?
Application Method: Online Application
Ref. No.: Job Nb 2536
We look forward to receiving your application with the following documents:
- Motivation letter
We only accept applications submitted through our online application portal and will not consider applications via email or postal services. If you have questions regarding this position, please email: Oksana Riba [email protected] (no applications).In line with our values, ETH Zurich and EPFL encourage an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
About the Employer: École Polytechnique Fédérale de Lausanne, EPFL, Switzerland
Note or Other details
We offer :
- A stimulating, collaborative, cross-disciplinary environment in a world-class research institution;
- Flexible work arrangements, including remote working, flexible time, condensed week, and the opportunity to work part-time;
- Exciting challenges, varied projects, and plenty of room to learn and grow;
- An opportunity to follow your passion and use your skills to make an impact on research communities and society;
- A possibility to spark your creativity by experimenting and learning new technologies;
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.
Advertisement Details: Open Research Data Engineer