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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

Biomedical Data Engineer

About the SDSC

The Swiss Data Science Center (SDSC) is a joint venture between EPFL and ETH Zurich. Its mission is to accelerate the adoption of data science and machine learning techniques within the ETH Domain academic disciplines, the Swiss academic community at large, and the industrial sector. In particular, it addresses the gap between those who create data, those who develop data analytics and systems, and those who could potentially extract value from it. The centre comprises a multi-disciplinary team of data and computer scientists, and experts in select domains with offices in Zürich, Lausanne, and Villigen.

 

The Swiss Data Science Center (SDSC) is becoming a National Research Infrastructure with a mandate to support the access and development of data science and artificial intelligence (AI) in research, the industry and the public sector in Switzerland.

As of 2025, the SDSC will provide expertise and services towards the design and implementation of ambitious data science projects, including support for the development of research data infrastructures and data science platforms.

Project Background

In this role you will be part of SDSC’s interdisciplinary Biomedical Data Science team.The Biomedical Data Science team leverages data science and artificial intelligence to advance biomedicine and improve healthcare outcomes. We collaborate closely with other teams at SDSC to bring cutting-edge data science expertise to the biomedical community. One of our key responsibilities is the design and maintenance of user-friendly research data infrastructures specifically tailored to the needs of the biomedical community. By integrating our services into the broader research landscape, we empower the community to achieve innovative and transformative outcomes in health and biomedical sciences.

Main duties and responsibilities

  • Contribute to the design, development, and maintenance of research data infrastructures tailored to supporting the needs of the biomedical community
  • Support life scientists in the use of research data infrastructures
  • Support the implementation and monitoring of data governance policies, ensuring adherence to regulatory requirements and compliance with FAIR principles
  • Contribute to user and data management for biomedical consortium projects

Profile

  • Minimum of an MSc in Computer Science, Bioinformatics, or a related discipline
  • Experience handling and working with biomedical data; familiarity with ontologies and data models is a plus
  • Proficiency in Python and Go or C++
  • Experience in frontend development
  • Familiarity with the latest cloud technologies and platforms, including containerization with a focus on Docker
  • Excellent communication skills in English
  • Ability to effectively engage with individuals from diverse backgrounds and varying levels of expertise
  • Strong organizational skills and attention to detail

 

Beyond specific skills, we are interested in individuals who are excited to learn, are self-motivated, and have a great team-oriented attitude. We encourage and expect independence and critical thinking but value highly the ability to work in a team, express ideas, and engage in constructive discussions that move the project forward.

We value diversity

In line with our values, EPFL encourages 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.

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
  • As part of the EPFL, you'll enjoy all the benefits associated with being an EPFL employee, including a supportive work environment and access to various resources.

Detailed information about employment conditions and benefits can be found here

Informations

Contract Start Date : asap

Activity Rate Min : 80.00 

Activity Rate Max : 100.00 

Contract Type: CDD

Duration: 1 year, renewable 

Reference: 1072 

Curious? So are we.

We look forward to receiving your application with the following documents:

  • Motivation letter
  • CV
  • Diplomas

 

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 hrdatascience@datascience.ch (no applications).










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