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Available positions
Please note that you will have to apply through the EPFL, ETH Zurich or PSI HR portal links, as indicated in the job postings.
Any application sent by email will not be considered.
Biomedical Data Engineer
80%-100%, Zurich or Lausanne, fixed-term
The Swiss Data Science Center (SDSC) is a strategic focus area in the ETH domain, founded by 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.
Job description
- 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. In line with our values, ETH Zurich 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.With the social and leadership competencies, ETH Zurich has developed a common understanding for a shared work culture. Kindly try to incorporate these six competencies into your recruitment.
Workplace
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 ETH Zürich, you'll enjoy all the benefits associated with being an ETH Zürich employee, including a supportive work environment and access to various resources.
Detailed information about employment conditions and benefits can be found herechevron_rightWorking, teaching and research at ETH Zurich
We value diversity
In line with our values, ETH Zurich 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.
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).
For recruitment services the GTC of ETH Zurich apply.
Apply in Zurich | Apply in Lausanne
Front-end Research Engineer
100%, Zurich, fixed-term
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
Are you a front-end engineer with a research mindset? Are you passionate about applying your skills to create innovative interfaces that empower researchers to share, manage, and analyze data more efficiently? The Swiss Data Science Center (SDSC) invites you to join the Open Research Data Engagement and Services (ORDES) team and make a meaningful impact on the future of data-driven research.
Start of position: August 1, 2024 (negotiable)
Job description
Within the ORDES team, you'll play a pivotal role in shaping the tools researchers use throughout the entire data lifecycle. By developing intuitive, cutting-edge web interfaces that leverage semantic technologies, you'll streamline processes from data collection and analysis to sharing and preservation, impacting a wide range of projects across academia, industry, and government.
As our Front-End Research Engineer, you'll leverage your expertise in modern front-end technologies to build user-friendly components for strategic services, such as Imaging Plaza and Swiss Data Custodian. This includes creating initial mockups and prototypes to gather feedback and refine the user experience. Collaborating closely with project teams, you'll translate research goals into intuitive interfaces that meet the unique needs of each project, ensuring that the underlying semantic structure of the data is effectively represented and utilized. Your commitment to clear documentation and code maintenance will enable smooth collaboration and the long-term success of our platforms.
At SDSC, we value continuous learning and encourage you to stay at the forefront of front-end technologies and methodologies, including advancements in semantic web development. By applying your evolving knowledge, you'll continuously enhance the functionality, usability, and performance of SDSC's research tools and platforms, ensuring they remain cutting-edge, interoperable, and accessible to the research community.
Profile
We welcome applications from diverse backgrounds and value a blend of academic achievement and practical expertise. You bring a solid foundation in front-end development honed through a Master's or Bachelor's degree in Computer Science, a related field, or equivalent professional experience. You're a team player who enjoys the collaborative process of building intuitive and visually compelling web UIs using modern front-end technologies like React, TypeScript, Next.js, or Vue.js.
Your ability to integrate data through REST, JSON, and APIs is crucial for ensuring smooth communication between our research tools and platforms. While not required, experience with semantic web technologies (e.g. RDF, SHACL, SPARQL) and knowledge of DevOps CI/CD pipelines would be a valuable asset to our team. We are committed to investing in your professional development and providing comprehensive training opportunities to help you acquire or strengthen these skills.
You are comfortable working effectively within a diverse team, openly sharing ideas, and communicating technical concepts clearly (English written and oral, with bonus points for French or German).
Your commitment to staying current with industry trends and emerging technologies will be key to driving innovation within the SDSC.
Workplace
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 ETH Zürich, you'll enjoy all the benefits associated with being an ETH Zürich employee, including a supportive work environment and access to various resources. Detailed information about employment conditions and benefits can be found here
chevron_rightWorking, teaching and research at ETH Zurich
We value diversity
In line with our values, ETH Zurich 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.
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).
For recruitment services the GTC of ETH Zurich apply.
Working at the Swiss Data Science Center
Our recruitment policy is based on the following principles:
1. Fair practices: SDSC upholds transparent and fair hiring practices, treating all candidates with dignity, respect, and equality. We have clear and comprehensible guidelines that guide our recruitment methods and ensure every employee understands and follows them.
2. Positive culture: SDSC is committed to creating a work environment prioritizing its workers' well-being, satisfaction, and productivity. We support flexible working arrangements, including remote work possibilities, and provide a safe and healthy work environment where every employee feels valued, respected, and supported.
3. Gender equality: We value gender equality and give equal opportunity and respect to all employees. We think everyone has unique talents and skills and encourage all our employees, regardless of gender, to attain their full potential. We establish an environment where gender stereotypes (and all other biases) are challenged, resulting in an inclusive and empowering workplace.
4. Cultural diversity: We believe in the potential of inclusion and diversity. We seek to assemble a group of enthusiastic individuals who share our beliefs and ideals regardless of gender, ethnicity, age, sexual identity, religion, or handicap. We actively recruit people with varied origins, nationalities, and experiences because we believe that a diverse workforce promotes innovation, creativity, and effective problem-solving.
5. Continuous growth: SDSC is committed to promoting our workers' ongoing education and development. We provide opportunities for professional development, allowing individuals to improve their skills, knowledge, and talents. We encourage our employees to realize their professional goals by offering resources and support.
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