Role overview
- Lead and support multi-omics data analysis across in vitro, in vivo, and clinical datasets
- Maintain, improve, and develop reproducible bioinformatics pipelines
- Integrate computational analyses with experimental and clinical data to generate biologically meaningful insights
- Stay up-to-date with emerging computational methods and apply them to ongoing research questions
- Communicate results effectively within the lab and to broader scientific audience
What we're looking for
Education & Experience:
- Master’s degree required; PhD preferred in Computational Biology, Bioinformatics, Data Science, Computer Science, Informatics, or a closely related field
- Master’s degree with 3+ years of relevant research or industry experience, or
- PhD with 0+ years of postdoctoral or equivalent experience
Technical Expertise:
- Proficiency in R and Python (MATLAB experience is a plus)
- Ability to analyze high-dimensional bioinformatics datasets, including multi-omics data (e.g., transcriptomics, epigenomics, proteomics, spatial or single-cell data) using existing pipelines
- Demonstrated ability to enhance, optimize, and extend existing computational pipelines, as well as design and implement new workflows
- Experience working with large and complex datasets
- Strong ability to read, interpret, and implement methods from current bioinformatics and computational biology literature
- Experience using and maintaining GitHub repositories for version control and collaborative development
- Familiarity with conda environments, Jupyter notebooks, and R Markdown for reproducible research
Domain Knowledge:
- Background or strong interest in genomics, musculoskeletal biology, inflammation, tissue degeneration, or related biological systems is highly desirable
- Strong organizational skills, including time management and attention to detail
- Excellent problem-solving and analytical abilities
- Strong written and verbal communication skills
- Ability to present computational methods and biological results clearly to audiences with varying levels of expertise
- Interest in interdisciplinary collaboration with experimental biologists, clinicians, and engineers
- Demonstrated ability to provide technical leadership or mentorship is a plus
We look forward to receiving your online application with the following documents:
- A CV or resume
- A brief statement of research interests and experience (optional but encouraged)
- A bioinformatics or coding portfolio, such as:
- A GitHub profile showcasing pipelines, analyses, or tools Published or pre+ manuscripts, technical reports, or other examples of computational research output
Further information about Musculoskeletal Bioengineering Lab can be found on our website. Questions regarding the position should be directed to Mrs Aanya Mohan, aanya.mohan@hest.ethz.ch (no applications).
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.
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