Computational Biologist (Proteomics)

FMI - Friedrich Miescher Institute for Biomedical Research; Basel; On-site; CHF 110,000 - 150,000; Full time

Job summary

FMI - Friedrich Miescher Institute for Biomedical Research in Basel, Switzerland, seeks a Computational Biologist (Proteomics) to collaborate with scientists and analyze proteomics and omics data. You will contribute to study design, data interpretation, and result publication.

The role emphasizes strong programming, advanced MS data analysis, and integrating different data modalities such as RNA-seq or ATAC-seq within a collaborative environment.

Qualifications

• PhD or equivalent experience in computational biology, physics or related field.
• Formal training in statistics and multivariate data analysis.
• Strong programming skills and data analysis experience.

Responsibilities

• Collaborate with FMI scientists to interpret, communicate, and publish results.
• Work with the Mass Spectrometry Facility on advanced data analysis.
• Analyze proteomics and other omics datasets and develop new analytical approaches.

Skills

PhD or equivalent

Programming (algorithms)

Mass spectrometry data analysis

Data integration (RNA-seq/ATAC-seq)

Scientific communication

Education

PhD in computational biology or related field

Tools

R

Python

Mass spectrometry software

Job description

Computational Biologist (Proteomics)

FMI - Friedrich Miescher Institute for Biomedical Research

Basel, Switzerland

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 and other high-throughput omics datasets and develop new analytical approaches when needed.
• Advise scientists on experimental design and data analysis strategies.
• Teach and mentor scientists in computational biology and proteomics.

About you

• 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 acquiring new skills relevant to your role.

Deadline 25 October