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Based in Basel and on site, this full‑time Computational Proteomics Scientist role at FMI’s Computational Biology Facility centers on collaborating with FMI scientists to interpret, communicate, and publish results, in close partnership with the Mass Spectrometry Facility, while analyzing proteomics datasets and developing new analytical approaches. You will advise experimental design, teach and mentor others, and contribute to community tools and reproducible research. Ideal candidates hold a PhD or equivalent in computational biology or related fields with training in statistics and multivariate analysis, strong programming skills, and proven MS data analysis experience, plus an interest in integrating RNA‑seq or ATAC‑seq data. Apply via the online portal with CV and motivation letter; highlight collaboration, mentoring, and concrete projects.

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To reinforce our team in Basel, Switzerland, we are seeking a

Computational Proteomics Scientist

Job tasks
The Friedrich Miescher Institute for Biomedical Research (FMI) is seeking a Computational Proteomics Scientist to join its Computational Biology Facility. 
The facility supports and collaborates with FMI scientists to analyze and interpret large, state-of-the-art datasets, addressing fundamental questions in biomedical research. It also provides external and in-house developed analysis tools (https://fmicompbio.github.io) and offers training in programming, bioinformatics, and reproducible research. The facility is a member of the Swiss Institute of Bioinformatics and actively contributes to community projects such as Bioconductor and Galaxy.
In this role, you will 

• Collaborate with FMI scientists to interpret, communicate, and publish results. 
• Work closely with the Mass Spectrometry Facility on advanced data analysis. 
• Analyze proteomics datasets and develop new analytical approaches when needed. 
• Advise scientists on experimental design and data analysis strategies. 
• Teach and mentor scientists in computational proteomics.

Profile requirements

• You hold a PhD degree or can demonstrate equivalent experience in computational biology, physics, mathematics, biology or related fields, with formal training in statistics and multivariate data analysis. 
• You have strong programming skills, including knowledge of algorithms, data structures, and signal processing. 
• You have extensive analyzing and interpreting mass spectrometry data using state-of-the-art tools, and you are interested in integrating it with other data modalities, such as RNA-seq or ATAC-seq data.
• You enjoy collaborative projects, communicate results effectively, and work well with experimental biologists. 
• You can work independently and are open to acquire new skills relevant to your role. 

What we offer

• A competitive compensation and benefits package. 
• A 3-year initial contract with the possibility of transition to a permanent position. 
• Opportunities to participate in scientific meetings and attend workshops and training programs to learn new techniques. 
• A dynamic, multidisciplinary, and international environment that values diversity, inclusion, and the contributions of every individual. 
• A friendly, supportive, and competent team.

How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV and letter of motivation through the online portal here.