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 () 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.

• 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 experience 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.

• 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.