PostDoctoral Position : Image-Based Drug Screening Against Bacterial Pathogens
Mission
A postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/) to establish a new image-based drug screening platform targeting gram-negative pathogens (Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa). The project will combine single-cell/single-bacterium imaging approaches with the lab's tissue-engineered infection models to identify and characterize compounds active against these priority pathogens.
Main duties and responsibilities
- Design and build a microscopy-based phenotypic screening pipeline (live imaging, high-content, single-cell resolution) to assay compound activity
- Develop imaging assays capable of distinguishing mechanism of action (e.g. growth inhibition, biofilm/attachment disruption, membrane integrity)
- Develop or adapt image analysis and quantification pipelines with AI support to handle screen-scale data
- Follow up on screening hits to identify their molecular target or mechanism of action (e.g. via genetic, chemical-biology, or biophysical approaches), with support from other lab members' expertise in microbiology and drug discovery
- Collaborate with the lab's discovery and design efforts (natural products, AI-enabled molecular design) to feed prioritized targets and hits back into upstream design
- Apply the pipeline to screens in both standard culture and, in collaboration with other lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits
- Co-supervise PhD students and contribute to method development, data management, and grant reporting
Profile
- PhD in microbiology, biophysics, bioengineering, or a related field (completed or near completion) with at least a first author publication.
- Hands-on experience with quantitative microscopy (live-cell imaging, high-content screening, or single-cell/single-bacterium imaging)
- Comfort with image analysis pipelines and scripting (Python), experience integrating ML-based image analysis is a plus but not required
- Interest in working across the interface of imaging, microbiology, and drug discovery
We offer
- The opportunity to build a new screening platform from the ground up, with significant ownership over pipeline design
- Access to the lab's existing imaging/biophysics infrastructure and tissue-engineered infection model systems
- Integration within the NCCR AntiResist consortium, with access to a broad network of AMR-focused groups across Switzerland
- Competitive salary (see EPFL postdoc salary scale)
- Support for independent fellowship applications (EMBO, HFSP, MSCA) where relevant
Informations
Applicants should submit
- A cover letter (PDF, up to 2 pages) describing research interests, achievements and fit
- A CV with publication list
- Contact details for 3 referees
Additional information
- Contract start date: negotiable
- For informal inquiries, contact: alexandre.persat@epfl.ch
- Applications accepted only through the EPFL careers portal
Activity Rate : 100.00
Contract Type: CDD
Duration: 1 year, renewable
Reference: 2441