Bioinformatics Scientist: The Laboratory for Biological Engineering at ETH Zurich is seeking a Bioinformatics Scientist to contribute to cutting-edge research at the intersection of biological engineering, computational biology, and functional genomics. The ideal candidate will work closely with Professor Randall J. Platt and be involved in innovative projects focused on gene function studies and disease treatment technologies.
Designation
Bioinformatics Scientist
Research Area
- High-throughput experimental platforms
- CRISPR perturbation technologies
- Functional genomics
Location
Department of Biosystems Science and Engineering (D-BSSE), ETH Zurich, Basel, Switzerland
Eligibility/Qualification
- PhD or equivalent in bioinformatics, computational biology, computer science, applied statistics, or a related field
- Substantial (>6 years) postdoctoral or equivalent experience in developing and applying computational methods to large-scale biological datasets
Job Description
The successful candidate will:
- Collaborate with both experimental and computational teams
- Develop computational methods and analyze multi-omic datasets (transcriptomics, metagenomics, metabolomics, and proteomics)
- Facilitate project planning, data interpretation, and research dissemination
- Guide and mentor trainees in computational research
- Publish research findings and contribute to grant writing
Working Time Distribution:
| Activity | Percentage |
|---|---|
| Research | 70% |
| Supervision of Trainees | 20% |
| Service | 10% |
How to Apply
Candidates are invited to submit the following documents as a single PDF:
- Cover letter detailing scientific background, skills, and interests
- CV
- Diplomas and course transcripts
- Contact details of at least two referees
Applications must be submitted online; emails will not be considered.
Last Date to Apply
March 24, 2026
Additional Information
- Initial Zoom calls for shortlisted candidates are scheduled for April 1 or 2, 2026.
- In-person interviews will be held on April 16 or 17, 2026.
- The ideal start date for the position is August 1, 2026.
For more information, please contact Prof. Platt (questions only; applications via email will not be accepted).
