Research Software Engineer for Computational Mass Spectrometry 80%-100%

ETH Zürich; Zürich; Vor Ort; CHF 110.000 - 140.000; Vollzeit

Zusammenfassung

The Functional Genomics Center Zurich (FGCZ) invites applications for a Research Software Engineer to advance mass spectrometry data analysis and bioinformatics pipelines. You will work within the FGCZ bioinformatics group, supporting ETH Zurich and University of Zurich researchers with data interpretation and reproducible analyses.

Candidates should hold a Master's degree or PhD in CS, statistics, or biology, have programming experience (C++, C#, Java, Python) and familiarity with

Qualifikationen

• Academic degree in computer science, statistics, or biology.
• Master's degree required; PhD welcome.
• Proficiency with Windows and Linux OS and command-line interfaces.
• Experience with at least one language (C++, C#, Java, Python) and Git.

Aufgaben

• Maintain and develop mass spectrometry data processing and analysis pipelines.
• Ensure reproducibility of data analysis.
• Support collaborators with data interpretation and bioinformatics projects.

Kenntnisse

Team player

Programming (C++, C#, Java, Python)

Git

Windows & Linux CLI

AI-assisted tools usage

English language

Ausbildung

Master's degree in CS/Statistics/Biology

PhD welcome

Bachelor's degree in relevant field

Tools

Docker

Apptainer

Slurm

R/Bioconductor

Git

Jobbeschreibung

The Functional Genomics Center Zurich (FGCZ) is a joint state-of-the-art research and training facility of the ETH Zurich and the University of Zurich. With the latest technologies and key expertise for omics research, the FGCZ provides research services and project support to the Zurich life science research community.

We are looking for a Research Software Engineer at Functional Genomics Center Zurich as soon as possible or upon agreement.

Project background

This position is centered on mass spectrometry data, with a primary focus on bioinformatics analysis and interpretation in support of researchers at the FGCZ. Within that field, the team covers raw data processing, high-performance computing, statistical evaluation, interpretation, and integrated analysis. The unit maintains a portfolio of commercial and open-source applications operating on our infrastructure and establishes novel data processing and analysis pipelines. An integral part of the work is integrating the data into our data management system and ensuring the reproducibility of the analysis.

Job description

• You will support the FGCZ proteomics and metabolomics user community by maintaining existing and developing new mass spectrometric data processing and analysis pipelines
• In this role, you will apply your expertise in informatics and data science to ensure the reproducibility of the data analysis performed
• As a member of the FGCZ bioinformatics group, you will have back-office and user-desk tasks to support our collaborators at ETH and the University of Zurich with data interpretation and bioinformatics projects

Profile

Required Skills and Experiences:

• Team player – working closely with wet-lab scientists and translating their needs into analysis
• Academic degree in any of the relevant areas, including (but not limited to) computer science, statistics, or biology
• A master's degree in a relevant field; candidates with a Ph.D. are equally welcome to apply
• Proficiency in Microsoft Windows and Linux operating systems, including command-line interfaces
• Practical knowledge of at least one programming language (C++, C#, Java, Python) and tools such as Git
• Responsible and informed use of AI-assisted tools in a scientific context

Preferred Skills and Experiences:

• Familiarity with the management and analysis of large-scale datasets, in particular omics-related data
• Background in bioinformatics, ideally in mass spectrometry
• Experience in imaging, spatial, or cross-omics disciplines
• Proven track record of writing and maintaining code
• Experience in R/Bioconductor and client-side web programming
• Experience with UI/UX design, particularly the development of web-based or desktop interfaces for scientific data visualization
• Experience with virtualization tools, e.g., Docker, Apptainer
• Experience with resource management software, e.g., Slurm

The ability to work independently is a prerequisite, as is the ability to interact effectively with the center’s research and technical staff and external research groups in a team-oriented manner. Advanced knowledge of English is essential, as this is the working language of the center.

We particularly encourage applications from early-career candidates eager to develop their skills in a stimulating research environment.

We offer

A highly interesting position at the intersection of technology and life science research. Employment conditions are according to the regulations of ETH Zurich and the University of Zurich. Working at the FGCZ allows collaboration with our international, multicultural group in a motivating, friendly, and flexible atmosphere. Employment will be at ETH Zurich; the position is available immediately.

Working, teaching and research at ETH Zurich

We value diversity and sustainability

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. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

Further information about FGCZ can be found on our Website. Questions regarding the position should be directed to Christian Panse, [e-mail] (no applications).