Scientific Collaborator 2 in the Department of Biochemistry
myScience
Geneva
Key information
- Publication date:16 July 2025
- Workload:100%
- Place of work:Geneva
Job summary
Join the University of Geneva as a Scientific Collaborator 2! This role offers a dynamic research environment in biochemistry.
Tasks
- Develop automated image analysis methods and software tools.
- Teach computational methods in biochemistry at the Bachelor’s level.
- Manage department's computer equipment and provide training.
Skills
- PhD in quantitative biology, physics, or computer science required.
- Expertise in automated image analysis and AI methods.
- Experience with light microscopy and its applications.
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Scientific Collaborator 2 in the Department of Biochemistry
Workplace Geneva, Lake Geneva region, Switzerland CategoryLife Sciences
Position Scientific Officer / Scientific Assistant
Job Start 1st January 2026 or as agreed Published 15 July 2025 The Faculty of Science at the University of Geneva, Switzerland, has an opening for a position as
Scientific Collaborator 2 in the Department of Biochemistry
The Department of Biochemistry has an opening for a Scientific Collaborator 2 in a highly dynamic and stimulating research environment, recognized for its excellence in interdisciplinary research of fundamental biological processes at all scales of life.
Description
The successful candidate will develop automated image analysis methods, software, and pipelines.
The position includes responsibility for teaching computational methods at Bachelor’s level in biochemistry, as well as training department members in image analysis, in French and English. It also involves managing the department’s computer equipment.
The position includes responsibility for teaching computational methods at Bachelor’s level in biochemistry, as well as training department members in image analysis, in French and English. It also involves managing the department’s computer equipment.
Requirements
Candidates who have pursued recognized research in quantitative biology, physics or computer science with in-depth expertise in image analysis are encouraged to apply. We are looking for candidates with expertise in automated image analysis and artificial intelligence methods to support the department’s groups in the analysis of light microscopy data, including total internal reflection fluorescence microscopy, lattice light sheet microscopy, expansion microscopy, and correlative electron and fluorescence microscopy. Experience in microscope maintenance would be an asset.
FORMAL REQUIREMENTS:
PhD degree or equivalent.
FORMAL REQUIREMENTS:
PhD degree or equivalent.
Contact and Address
STARTING DATE: 1st January 2026 or as agreed.
Applications must include the following documents: Cover letter, detailed CV with list of publications, copy of highest degrees/diploma, list of referees who can later be contacted directly by the search committee. Recommendation letters are not requested for now.
Applications should be submitted exclusively on-line to the following address : https://jobs.unige.ch.
APPLICATIONS SENT BY EMAIL WILL NOT BE ACCEPTED.
Applications from women are particularly welcome.
Complementary information may be obtained at the following e-mail address : aurelien.roux@ unige.ch
You can read this announcement at the following address: https://jobs.unige.ch/
Applications must include the following documents: Cover letter, detailed CV with list of publications, copy of highest degrees/diploma, list of referees who can later be contacted directly by the search committee. Recommendation letters are not requested for now.
Applications should be submitted exclusively on-line to the following address : https://jobs.unige.ch.
APPLICATIONS SENT BY EMAIL WILL NOT BE ACCEPTED.
Applications from women are particularly welcome.
Complementary information may be obtained at the following e-mail address : aurelien.roux@ unige.ch
You can read this announcement at the following address: https://jobs.unige.ch/
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